c-ECO INSTITUTESYSTEMIC INTELLIGENCE LIBRARY · LOG

c-ECO SYSTEM / DOMAIN LIBRARY

LOG · Domain knowledge

Logistics & Supply Chains

Risks · Response · Governance · Calibration
Scenarios · Recovery · Sources

c-ECO Institute crest

A domain library connecting systemic risks, monitoring, governance and recovery. Explore nine parts and 35 sections with mechanisms, observations, evidence matrices and documented cases.

English research and learning edition · Scientific references, domain cases and reproducible exercises. Methodological notes →

READING AND EVIDENCE

How to use this library

The library combines domain research, a c-ECO analytical teaching structure and original exercises. References identify mechanisms, methods and documented cases; inclusion does not validate a complete TFP application.

N1 · Analytical and simulated material
The risk–TFP associations, candidate observations, scenario designs and exercise parameters organize inquiry. They are not measured local results, approved operational thresholds or estimates of event frequency. The case must define its function, observations and criteria.
N2 · Reproducible laboratory
Section 20 specifies a synthetic model, assumptions, dependence and random seed. Its Q output is a pedagogical index, separate from SPS. Numerical summaries describe only that declared experiment.
N3 · Sources and scope
Research papers, official documents and case records have distinct roles. This is a curated teaching library, not an exhaustive systematic review. Dynamic sources require a cited version or extraction date; applicability of a legal or technical instrument depends on the actual jurisdiction and activity.
N4 · Governance and learning
The library establishes no statutory power, quorum, emergency command, provider certification, partnership or institutional endorsement. A learning case may be real or simulated. Completion, optional credentialing, permission to submit and licensing remain distinct. Projects and data contributions to the SIL require an associated fellow and applicable review.

PART I

Domain intelligence profile

SECTION 01

Domain overview and system boundary

Specify the essential flow before drawing the network. The same port, warehouse or supplier can be critical for one product and replaceable for another. Define recipient need, product specification, required quantity, useful delivery deadline and acceptable substitution. Include transport, storage, information and working capital rather than treating logistics as movement alone. A case boundary should extend far enough upstream and downstream to capture dependencies that control continuity. The central question is whether the required function can still be delivered when an important node or route becomes unavailable. [L01] [L02] [L14]

Logistics connects production and consumption through transport, storage, information, finance and contractual coordination. The domain examines how disruption at a facility, route or supplier changes the ability to deliver an essential function elsewhere. A map of direct suppliers is only the first layer: apparently diverse suppliers may depend on the same port, chemical precursor, cloud platform, energy system or upstream producer. A case should specify the goods and services at risk, the required service level, the people affected and the period over which interruption becomes difficult to reverse. [L01] [L03] [L14]

The library covers freight corridors, ports, multimodal transfers, warehouses, cold chains, inventory policies and multi-tier production networks. It distinguishes routine variability from disruption that changes network structure or persistent availability. Continuity is evaluated using feasible substitutions, time to recover and time that users can survive interruption, with special attention to essential medicines, water-treatment inputs, food and emergency supplies. Faster or cheaper delivery is not automatically more resilient if it concentrates dependencies or transfers unacceptable burdens to workers and communities. [L02] [L07] [L11]

A domain label is not yet a case boundary. Separate the condition of a resource or asset from the function delivered to users. A nominally available installation may fail to deliver usable service, and a system-wide average can conceal localized loss. Preserve the original physical or institutional unit alongside any normalized representation. The boundary should make it possible to ask what enters, what changes, what leaves and who experiences the consequences.

Case-analysis method
Case fieldRecord
FunctionDescribe the outcome delivered, affected users and the minimum useful unit of service.
BoundaryRecord spatial, technical, organizational and temporal boundaries, including excluded processes.
Reference conditionState what counts as functional performance and which evidence defines that condition.
Exposure and distributionIdentify which groups, assets and ecological functions can be affected differently.
DependenciesIdentify prerequisites, substitutes and common points of failure.
ObservationConnect each important claim to a source, method, scale and update interval.

Section readings [L01; L02; L14]

SECTION 02

Historical development and changing conditions

Historical logistics analysis should reconstruct network changes and their consequences. Lean inventories, outsourcing, geographic clustering and digital coordination can improve routine performance while changing disruption pathways. These changes should not be declared inherently unsafe: their effects depend on available alternatives and the duration of interruption. Use past incidents to identify which assumptions failed, such as independent suppliers sharing one flooded industrial park. Compare the pre-event network, the disrupted network and the recovered configuration, including customers or producers that permanently exited rather than treating disappearance as successful recovery. [L03] [L06] [L19]

A historical baseline must be examined for changes in exposure, technology, operating practice and observation. Compare episodes using their mechanisms and evidence, rather than treating all events with a similar label as exchangeable observations. A reconstruction should show what was known at each time; later explanations should not be presented as information available to the original decision maker. Recovery and long-term change may require a separate timeline from the initiating incident.

Historical comparison: documented records for further study
Case and periodMechanism to examineComparison questionSource
Thailand floods, 2011Industrial clusters and access losses disrupted manufacturing across production networksMap geographic common modes and sub-tier concentration rather than vendor names alone[L19]
Great East Japan earthquake and tsunami, 2011Interacting infrastructure and production damage challenged business continuityCompare stock buffers with time needed to qualify alternative production[L20]
COVID-19 maritime trade, 2020; study 2021AIS-derived movement changes revealed differentiated trade disruptionSeparate observed vessel movement from modeled total economic loss[L16]
Red Sea shipping disruption, 2023–2024Security conditions redirected vessels and lengthened maritime journeysAssess shared rerouting capacity and essential-goods lead-time tails[L17]

Section readings [L03; L06; L19]

SECTION 03

Actors, institutions and decision responsibilities

A supply chain is governed through several overlapping arrangements: contracts, ownership, transport regulation, customs, product safety and emergency powers. Map actual decision rights for priority allocation, substitution, rerouting and release of reserved stock. A manufacturer may know its own suppliers without controlling their upstream inputs, while a public agency may require continuity without possessing the commercial data needed to assess it. Record information-sharing constraints and escalation contacts. The fellowship analysis should explain these arrangements without implying that c-ECO can compel disclosure, direct shipments or confer legal authority. [L01] [L03] [L17]

Map actors by the function they perform and the responsibility they actually hold in the case. The same organization may observe a condition, supply a service and participate in a decision; those roles should remain distinguishable. Examine information access, resources, expertise, affected users and accountability together. A list of institution names is not an operating governance arrangement. Record the evidence for each responsibility and the process for resolving a disagreement or correcting a record.

Case-analysis method
FunctionActors to identifyReviewable output
ObserveOperators, observation networks, laboratories and affected usersTimestamped records and methods.
InterpretAnalysts and relevant subject specialistsMechanism hypotheses, alternatives and uncertainty.
ReviewQualified reviewers with declared interestsDocumented assessment and unresolved disagreements.
Decide and executeThe actor with the applicable mandateReasons, authorized action and verifiable completion.
CommunicateResponsible institutions and accessible public channelsMessage, receipt, corrections and feedback.
UpdateData custodians and the review functionVersion, new evidence and conditions for revision.

Section readings [L01; L03; L17; C07]

PART II

Systemic risk intelligence

SECTION 04

Primary systemic risks

Primary risks include loss of production, transport, storage or information needed for an essential delivery. Separate the initiating interruption from the service consequence: a flooded warehouse is not equivalent to a shortage if usable alternatives reach recipients in time. Conversely, a small specialist supplier can cause a severe interruption when its product is indispensable. For every risk, identify the affected input, dependency tier, remaining buffer and feasible substitution. The catalogue should be prioritized through functional evidence and recipient consequences rather than annual procurement value or supplier size alone. [L02] [L11] [L14]

The inventory is a structured set of research hypotheses. It separates a threatening condition from the mechanism of loss and from its consequences. The proposed TFP association indicates which question to investigate; it is not evidence that a particular indicator predicts the event. Risk importance depends on the defined function, exposure, duration and usable alternatives. Do not infer frequency, severity or priority from the position of a row in the table.

Thirty domain-specific risk hypotheses
#Risk or threatening conditionMechanism to examineProposed TFP inquiry
1Single-source critical inputNo qualified alternate can deliver before stock exhaustionP: unmet essential demand
2Hidden sub-tier concentrationNominal suppliers share the same upstream producerσ: unknown dependency
3Port closureCargo cannot enter or leave an essential corridorP: stranded flows
4Canal restrictionDraft or transit limits reduce route throughputΔV: capacity loss
5Bridge or access failurePort and warehouse access is severed despite intact terminalsLr: route options
6Rail corridor interruptionBlocked track concentrates demand on limited alternativesP: freight backlog
7Road washoutLast-mile connectivity disappears under flood or landslideP: inaccessible demand
8Airport cargo lossHigh-value or time-critical goods lose feasible transportLr: time-compatible alternatives
9Cold-chain excursionTemperature history invalidates product usabilityP: unusable critical stock
10Warehouse floodingStored inventory and handling systems fail togetherP: deliverable inventory deficit
11Fuel shortageVehicles and backup systems cannot operateLr: mobilization capacity
12Power outageHandling, refrigeration and communication stopP: service interruption
13Cyber compromiseRouting, booking or inventory data become unavailable or unreliableσ: operational state uncertainty
14Customs bottleneckClearance capacity delays essential consignmentsΔV: dwell-time growth
15Supplier insolvencyWorking-capital failure halts otherwise intact productionLr: supplier viability
16Labor unavailabilityIllness, unsafe conditions or access loss reduce handling capacityP: workforce deficit
17Demand-signal distortionOrders diverge from final consumption and amplify shortagesσ: distorted demand
18Allocation inequityPriority customers absorb scarce supply while essential users lack accessP: unmet protected need
19Regulatory substitution barrierAvailable replacement lacks required qualificationLr: feasible substitution
20Material incompatibilityAlternate input cannot meet safety or performance requirementsP: unserviceable substitution
21Spare-part shortageRepair waits exceed the remaining operating bufferLr: restoration bottleneck
22Container imbalanceEquipment is available in the wrong location or specificationP: usable transport deficit
23Geopolitical route disruptionSecurity conditions force longer journeys or withdrawalΔV: lead-time increase
24Extreme-heat handling lossWorker safety or cargo limits reduce operating hoursP: effective capacity
25Low river navigabilityWater levels constrain draft and barge payloadΔV: throughput decline
26Emergency procurement delayContract and authority gaps prevent timely mobilizationLr: activation time
27Data visibility failureInventory and arrivals cannot be reconciled across tiersσ: state-estimation gap
28Return-flow accumulationEmpty equipment and waste congest constrained facilitiesP: effective capacity loss
29Recovery desynchronizationSuppliers restart before buyers or downstream transport can receive outputLr: coordinated restart
30Buffer depletion cascadeSuccessive inventories expire before replacement pathways recoverΔV: time-to-shortage compression

Section readings [L02; L11; L14]

SECTION 05

Amplification mechanisms and secondary risks

Amplification develops when inventories run down, transport backlogs grow, suppliers lose liquidity or customers respond by inflating orders. A shortage can then spread beyond the initially damaged assets. Distinguish these mechanisms because the interventions differ: extra transport cannot solve an unqualified input, and larger orders cannot create unavailable capacity. Track feedback between physical constraints and behavior. Ask whether emergency allocation improves essential access or simply favors buyers with greater purchasing power. A single aggregate service rate can conceal persistent shortages among smaller or remote recipients. [L04] [L08] [L12]

An amplifier changes the consequences of an initiating condition without necessarily causing the initiating event. Useful counterfactuals hold the threat constant and vary concentration, maintenance, access, information or response capacity. Document the mechanism and the observation that would distinguish it from an alternative explanation. Several amplifiers may share the same upstream cause; counting each one as independent evidence exaggerates confidence.

Amplification mechanisms
AmplifierPropagation mechanismEvidence or TFP inquiry
Common sub-tier producerMultiple suppliers fail togetherMap product-level upstream dependencies [L01]
Long qualification cycleAvailable substitutes arrive too late to prevent harmInclude testing and approval in recovery time [L03]
Demand batchingOrdering cycles amplify apparent scarcityShare consumption and inventory evidence [L08]
Shared port or canalGeographic concentration defeats nominal diversificationModel alternative route capacity [L14]
Thin working capitalDelayed payment blocks otherwise feasible productionAssess supplier continuity resources [L04]
Information latencyOutdated arrival and inventory data misdirect allocationTimestamp each operational observation [L09]
Synchronized regional shockNeighbors cannot provide assumed mutual capacityTest correlated disruptions [L15]
Rushed substitutionSpeed pressures undermine safety or compatibilityVerify specifications and recipient requirements [L02]

Section readings [L04; L08; L12]

SECTION 06

Emerging risks and research horizons

Emerging logistics risk often involves established mechanisms appearing in new combinations. Simultaneous restrictions in major shipping corridors, shared digital platforms and rapidly changing demand can defeat strategies designed around one isolated disruption. Assess whether alternatives are independent under the same scenario and whether their usable capacity remains available after other shippers reroute. New technology can improve visibility while increasing dependence on common providers. Frame the case around testable pathways and feasible decisions rather than assuming that digitalization, localization or diversification automatically produces resilience in every setting. [L01] [L15] [L17]

A research horizon is tied to the time needed to investigate, prepare or change a system. It is not a date at which an emerging threat is predicted to occur. Record the reason for concern, the strength of evidence, the exposed function and the observation that would change the priority. Distinguish a newly observed mechanism from a known mechanism whose exposure, scale or institutional context is changing.

Emerging research agenda
Research topicMechanism or knowledge gapObservation or horizon question
Compound chokepoint disruptionClimate and security restrictions affect several corridors simultaneouslyCompare network-wide rerouting capacity [L17]
Platform concentrationBooking and visibility depend on shared digital servicesMap fallback procedures and common providers [L01]
Transition-material bottlenecksNew production demand creates concentrated critical-input dependenciesAnalyze functional substitution and qualification [L02]
Automated ordering feedbackForecast and procurement algorithms reinforce distorted signalsRetain human review of exceptional demand [L08]
Carbon and resilience tradeoffsLonger rerouting preserves supply but raises energy useCompare essential-service and environmental consequences [L17]
Unobserved downstream deprivationCommercial shipment data omit users unable to place ordersTriangulate recipient need with delivered quantities [L07]

Section readings [L01; L15; L17]

SECTION 07

Cascades and cross-domain dependencies

Distinguish demand-signal amplification from disruption propagation. The bullwhip effect concerns variability in orders relative to downstream demand, while the ripple effect concerns how disruption changes performance and structure across dependent firms. Both can interact during a crisis, but they require different evidence. Use product-level flows, inventories and lead times to test propagation; use aligned consumption and order series to assess amplification. A network diagram becomes analytically useful only when its edges represent a specified dependency with a capacity, delay, substitution rule and direction of influence. [L08] [L09] [L12] [L13]

A physical interruption propagates when downstream facilities consume their inventories before replacement supply arrives. Propagation depends on bill-of-material requirements, inventory positions, batch sizes, production priorities and transport capacity, not simply the number of supplier links. [L12] [L13]

Bullwhip dynamics amplify orders relative to final demand through information processing, batching, incentives and perceived shortages. They differ from the ripple effect of a disrupted node, although both can occur together when emergency ordering obscures actual consumption. [L08] [L09]

Supplier diversification can conceal common-mode exposure. Firms with different names may share one sub-tier factory, port, floodplain or digital platform. Effective diversification concerns independent pathways and substitutability under the same event, not vendor count alone. [L01] [L14]

For each directed dependency, specify the function supplied, the destination, the propagation time and the substitute. Shared-cause failure, interacting threats and cascading propagation are different structures. A directed arrow becomes an explanatory claim only when the timing and mechanism are supported. Test apparent redundancy by removing the common access route, platform, energy supply or specialist on which both alternatives depend.

Directed dependency hypotheses
DependencyMechanism and directionVerification or TFP inquiry
EnergyTransport, cold storage and handling require reliable power and fuelTest shared grid and refueling exposure
Water and sanitationProduction and hygiene may depend on water and treatment inputsLink critical consumables to inventory cover
Digital infrastructureBooking, routing and customs rely on trusted systemsMaintain offline operating procedures
FinanceWorking capital and payment systems sustain suppliersMap liquidity constraints and delayed reimbursement
HealthMedicines, oxygen and sterile inputs have strict useful delivery timesPrioritize recipient-specific continuity
Food and agriculturePerishability couples time, temperature and market accessTrack usable output rather than gross tonnage
InfrastructureBridges, roads and ports determine physical passageAssess access nodes as well as terminals
Emergency servicesRelief operations compete for transport and scarce itemsAgree transparent allocation and coordination
GovernanceCustoms, permits and safety rules govern substitutionMap actual decision rights and activation times
Mining and chemicalsSpecialized inputs have concentrated upstream processingMap multi-tier material dependencies

Section readings [L08; L09; L12; L13; C01; C02]

PART III

Systemic response intelligence

SECTION 08

Readiness and response protocols

A response protocol links early evidence to an available decision. Declining usable stock may trigger confirmation of actual consumption, release of reserved inventory, allocation to essential users or activation of an already qualified alternate. Each action needs an authorized owner, data requirement and review point. Avoid automatic escalation based only on a late shipment count when the affected goods have different useful delivery windows. Record overrides and new information so decisions can be reconstructed. The practical test is whether the protocol preserves the required service before the recipient exhausts its remaining buffer. [L02] [L03] [L11]

Preparedness connects a signal to a responsible actor, an available measure and a condition of completion. This learning architecture does not grant emergency command or operational authority to the c-ECO Institute or a course participant. A useful protocol distinguishes checking the signal, protecting exposed functions and verifying recovery. A paper plan contributes to usable capacity only when its relevant assumptions have been tested.

Case-analysis method
StageAction to prepareEvidence
PrepareDefine critical functions, contacts, alternatives and observation coverage.A tested readiness record.
VerifyCheck the signal, the instrument and plausible alternative explanations.A traceable observation and uncertainty statement.
ProtectSelect and implement measures within the responsible actor’s authority.Coverage of priority functions and evidence of execution.
RecoverVerify usable performance before treating the function as restored.Recorded return criteria, monitoring and decision owner.

Section readings [L02; L03; L11]

SECTION 09

Scientific review and decision records

Technical review should challenge hidden dependencies and optimistic recovery assumptions. Ask whether alternate suppliers share upstream facilities, whether route capacity is reserved or merely theoretical, and whether qualification and customs time are included in the recovery estimate. Commercial confidentiality can be protected through controlled access and aggregated publication without abandoning independent scrutiny. Reviewers should distinguish a supplier’s stated capability from demonstrated delivery under comparable conditions. The decision record should preserve evidence versions, unresolved uncertainties, responsibility and reassessment triggers rather than presenting a network score as self-validating. [L01] [L05] [L14]

A review record separates observation, inference and decision. Record the data version, methods, alternative explanations, relevant expertise, conflicts of interest and unresolved disagreement. Review should be matched to the question and its consequences. Scientific analysis can inform a competent actor without replacing that actor’s mandate. No membership size, quorum or institutional power is established by this teaching library.

Case-analysis method
Review itemQuestion and record
QuestionWhat specific claim is being evaluated?
EvidenceWhich observations, sources and transformations support it?
AlternativesWhat other process could explain the same observation?
IndependenceWhich interests or shared data origins affect review?
DecisionWho can act, on what basis and with which constraints?
RevisionWhat new observation or failure of an assumption reopens the analysis?

Section readings [L01; L05; L14; C05; C07]

SECTION 10

Communication and observation continuity

Communication is part of physical continuity because inconsistent information changes orders, allocation and routing. Establish a shared meaning for stock available, stock committed, shipment departed and delivery completed. Time-stamp observations and identify who can correct them. Recipient-facing messages should explain availability and alternatives without creating unnecessary panic ordering. If an information platform fails, the case should retain a minimum offline method for priority consignments and confirmation of receipt. Track unmet need that never becomes a formal order, because transaction records alone can make exclusion invisible. [L08] [L09] [L16]

Continuity of observation should be tested alongside continuity of the function itself. Losing data may increase uncertainty before the physical process visibly changes. Redundancy must be demonstrated against common causes, including power, location, communications, credentials and specialist availability. During disconnected operation, preserve the last reliable observation, record the uncertainty that follows and reconcile timestamps and authorship when information paths return.

Case-analysis method
Continuity capabilityTest
Observation pathTest sensor availability, power, timing and independent confirmation.
Alternative communicationTest actual reach, autonomy and the ability to contact responsible people.
Degraded operationSpecify what can remain usable safely under loss of information or connectivity.
Offline recordKeep controlled copies of essential maps, contacts, definitions and procedures.
Accessible messagesCheck language, disability access, delivery and routes for correction.
ReconciliationPreserve timestamps and authorship when disconnected records are merged.

Section readings [L08; L09; L16; C01]

PART IV

Governance and legal architecture

SECTION 11

International instruments and technical references

International logistics operates through diverse transport, customs, trade and product-safety arrangements. A general resilience framework cannot establish whether a specific shipment may cross a border or whether a substitute is legally acceptable. Identify the relevant corridor, commodity and authorities, then retain current primary rules for qualified review. International technical assessments help frame common chokepoint mechanisms but do not authorize exceptions. A strong case distinguishes legal requirements from contractual provisions, service targets and educational assumptions, and makes clear which decisions must remain with competent public or regulated actors. [L03] [L17] [L21]

Classify each instrument before using it. A scholarly article supports an inference, a technical guide describes a method, a standard has a defined scope, and a legal instrument may create obligations only where applicable. The case record should identify the specific provision or method, its version and the activity to which it relates. A source’s institutional reputation cannot by itself establish applicability or demonstrate compliance.

Technical and institutional documents: identify their actual function
ReferenceDocumentUse and scope
[L17]Navigating troubled waters: Impact to global trade of disruption of shipping routes in the Red Sea, Black Sea and Panama CanalDated rapid assessment of interacting chokepoint disruptions.
[L18]Contact of Containership Dali with Francis Scott Key Bridge and Subsequent Bridge CollapseFinal investigation; use final findings instead of superseded preliminary causal speculation.
[L19]Chapter 2: Systemic risks, the Sendai Framework and the 2030 AgendaIncludes Thailand manufacturing disruption and systemic dependencies.
[L20]Private sector strengths applied: good practices in disaster risk reduction from JapanDocumented private-sector responses to the 2011 Great East Japan disaster.
[L21]Connecting to Compete 2023: Trade Logistics in an Uncertain Global EconomyBenchmarking logistics; national scores do not establish the status of one corridor.

Section readings [L03; L17; L21]

SECTION 12

Jurisdiction-specific responsibilities and requirements

National and regional arrangements influence the speed of clearance, rerouting, emergency procurement and safe transport. Compare the nominal process with observed elapsed time, including incomplete documentation and inspection queues. A national logistics ranking provides context but cannot establish conditions at one border crossing or remote delivery route. Record the date and coverage of operational evidence. Where expedited procedures exist, assess whether they can be activated lawfully and consistently before relying on them in a recovery plan. Any case-specific legal interpretation should be referred to appropriately qualified local expertise. [L03] [L17] [L21]

The register should cover the actual activity and location, including interfaces between organizations and jurisdictions. Separate responsibility for observing, supervising, deciding and executing. Retain the official source, version consulted and evidence needed to assess a condition. Conflicting definitions and overlapping mandates are analytical findings to investigate. A general library cannot create a universal legal threshold for all settings.

Case-analysis method
Register fieldInformation to preserve
Instrument and versionOfficial title, scope, jurisdiction and date consulted.
Actor and functionThe competent authority, operator, owner or custodian for the relevant activity.
ConditionThe requirement, decision trigger or performance obligation actually applicable.
EvidenceThe observation or document needed to evaluate that condition.
InterfaceOverlaps, conflicts, shared duties and coordination procedures.
ReviewHow changes in the instrument, activity or evidence affect applicability.

Section readings [L03; L17; L21]

SECTION 13

Causation, accountability and cascading consequences

Responsibility across a supply network is distributed among producers, carriers, warehouse operators, brokers and recipients. Contract terms do not by themselves demonstrate operational control or explain every causal contribution to a disruption. Preserve custody, temperature, maintenance and decision records where these are material to the case. For historical incidents, distinguish established investigative findings from preliminary theories and commercial claims. The educational goal is to identify preventable failure pathways and accountability gaps, not to assign unsupported blame or assume that shifting liability also reduces harm to the final user. [L03] [L18]

A technical chain of consequences is not automatically a legal allocation of liability. Separate evidence of causation from the duties, control and decisions relevant to each actor. A case may contain direct damage, dependent service interruption and persistent environmental or social consequences on different timescales. The analysis should show which links are documented and which need further investigation, without presuming an institutional restoration fund, mandatory levy or insurance mechanism.

Case-analysis method
LayerAnalytical question
Technical sequenceSeparate the initiating condition, failure mechanism, propagation and consequence.
Duty and controlIdentify the applicable responsibility and the actor able to influence the relevant process.
ExposureTrace the connection between a change of state and an affected function or population.
Alternative explanationsIdentify concurrent conditions and missing evidence relevant to attribution.
Recovery resourcesIdentify documented resources and their access conditions, without assuming an institutional fund or levy.

Section readings [L03; L18]

SECTION 14

Cross-boundary coordination

Cross-border propagation can occur without damage crossing the border. A plant may be physically intact but lose a unique imported component; a distant port closure may exhaust stock at a local hospital. Map the timing of these effects and the authority required to activate alternatives. Import dependence is not automatically fragility when independent qualified pathways exist, and local production is not automatically robust if it shares water or power constraints. Compare feasible continuity options under the actual event, retaining distributional consequences for communities along substitute routes and at destination. [L12] [L14] [L17]

Processes and dependencies often cross administrative, organizational or national boundaries. Coordination requires compatible definitions, useful timing, authorized exchange and an identifiable decision interface. Sharing data does not by itself resolve disagreements over objectives, risk allocation or resources. An exercise should expose which decision can be coordinated under existing arrangements and which would require an additional agreement or competent determination.

Coordination across functional boundaries
Boundary / dependencyMechanism to coordinateCase record
EnergyTransport, cold storage and handling require reliable power and fuelIdentify the actors, notification time, information definition and decision interface for this boundary.
Water and sanitationProduction and hygiene may depend on water and treatment inputsIdentify the actors, notification time, information definition and decision interface for this boundary.
Digital infrastructureBooking, routing and customs rely on trusted systemsIdentify the actors, notification time, information definition and decision interface for this boundary.
FinanceWorking capital and payment systems sustain suppliersIdentify the actors, notification time, information definition and decision interface for this boundary.
HealthMedicines, oxygen and sterile inputs have strict useful delivery timesIdentify the actors, notification time, information definition and decision interface for this boundary.
Food and agriculturePerishability couples time, temperature and market accessIdentify the actors, notification time, information definition and decision interface for this boundary.

Section readings [L12; L14; L17; C07]

PART V

TFP calibration intelligence

SECTION 15

Position (P): candidate observations

P requires a clear logistics interpretation before numerical use. It might represent an essential-demand deficit, a capacity shortfall or exposure to an unavailable input; these are different quantities. Retain physical units, product specification and recipient function before normalization. A high-value cargo can be less urgent than a low-cost chemical required for safe drinking water. Define whose unmet need is counted and how rationed or unrecorded demand enters the denominator. Publish the raw service evidence alongside the transformed indicator so reviewers can understand what a change in P actually means. [L02] [L07] [L11]

P represents position relative to a specified loss of function. The raw observation, reference condition, direction of deterioration and boundary of failure must remain explicit. A candidate monotone transformation can help compare states within a defined case, but it does not establish the threshold or validate an aggregate index. Capacity, delivered performance and exposure may require different indicators even when they concern the same installation.

Thirty candidate observations for P and related case questions
#Candidate observationUnit or definitionInterpretation and data requirement
1Time to recover critical supplydaysDefine restored quantity, quality and location; use supplier-specific evidence
2Time to survive interruptiondaysEstimate from usable stock and prioritized consumption under the scenario
3Essential-demand fill rate% orders or unitsSeparate critical users and avoid averages masking exclusion
4Usable inventory coverdays of prioritized demandExclude expired, inaccessible or unqualified stock
5Inventory accuracy% reconciled sampled unitsCompare systems with physical counts and trace corrections
6Lead-time mediandaysRetain origin, route, product and period definitions
7Lead-time tail95th percentile daysUse sufficient observations and document censoring of unfinished shipments
8Supplier concentrationshare or HHIMeasure critical input tiers as well as first-tier spend
9Common sub-tier exposure% critical inputsDocument verified shared plants, routes and utilities
10Qualified alternate coverage% critical itemsCount alternates with actual capacity and current qualification
11Port dwell timehoursSeparate terminal handling, customs and unavailable onward transport
12Vessel waiting timehoursUse port-call definitions and account for anchorage behavior
13Corridor available capacitytonnes/dayUse hazard-specific usable capacity, not design capacity
14Route independencecount of feasible routesTest common hazards, transshipment and regulatory constraints
15Freight backlogtonnes or ordersRemove duplicates and distinguish deferred from lost demand
16On-time essential delivery% consignmentsDefine the latest useful delivery time for the recipient
17Cold-chain compliance% monitored consignmentsRecord sensor calibration, gaps and product-specific limits
18Warehouse usable capacitypallet positionsExclude unsafe, inaccessible or temperature-incompatible space
19Fuel autonomyoperating hoursMeasure load, usable fuel and refueling access together
20Critical spares availability% restoration tasks coveredVerify fit, condition and delivery time
21Workforce availabilityqualified person-hours/shiftInclude safe access, fatigue limits and specialist roles
22Customs clearance timehours or daysSeparate documentary and inspection stages
23Supplier liquidity stressdays of cash or overdue invoicesUse confidential evidence with appropriate access controls
24Demand amplification ratioorder variance/consumption varianceUse aligned time buckets and product aggregation
25Unmet essential needunits or recipient-daysInclude unfilled requests that never entered the order system
26Shipment traceability coverage% priority consignmentsRecord usable location and event timestamps, not only tracking enrollment
27Data latencyhoursMeasure observation-to-decision availability by system
28Recovery milestone completion% verified tasksUse observable functional criteria rather than expenditure alone
29Mode substitution delaydaysInclude booking, handling, product and regulatory requirements
30Supplier recovery synchronizationdays between dependent restartsMap upstream availability and downstream receiving capacity

A didactic monotone transformation for an indicator that worsens as it rises is p = clip[(x − x_ref)/(x_failure − x_ref), 0, 1]. Reverse the direction for a reserve that deteriorates as it falls. The expression makes the reference points visible; it does not choose those points, prove comparability or establish an operational aggregate. Retain x in its original unit and justify the function separately for each case.

Section readings [L02; L07; L11]

SECTION 16

Velocity (ΔV): rates and trajectory

Velocity measures how quickly the continuity margin changes. Usable inventory may decline while lead times rise, compressing the window for qualified substitution. Backlog growth can signal that a corridor is approaching operational saturation even when average throughput appears stable. Use consistent time buckets and distinguish changes caused by new demand, lost capacity or data revisions. Pair each rate with an action lead time rather than projecting it indefinitely. The crucial comparison is between time remaining before essential service fails and the complete time required to make an alternative deliverable. [L02] [L11] [L13]

ΔV describes direction and rate of change over a declared interval. Two systems at the same apparent position may have different reaction times because their trajectories differ. Compare rates using consistent units, observation windows and reference systems. Check seasonality, missing periods, reporting changes and process acceleration before extrapolating. A time-to-boundary calculation is conditional on its trajectory assumption; it is not a general forecast.

Ten families of rate-of-change observations
ProcessRate / unitInterpretation
Stock depletionusable units/dayUse prioritized consumption and expected replenishment jointly
Lead-time increasedays/weekDistinguish route shift from incomplete shipments
Freight backlog growthtonnes/dayTrack incoming demand and clearance capacity separately
Port dwell-time increasehours/dayIdentify congestion propagation before stock buffers disappear
Qualified capacity loss%/dayTrack common-mode outages across nominally diverse suppliers
Demand amplification growthratio/weekCompare orders with actual recipient consumption
Cold-chain spoilage accumulationunits/hourUse recorded temperature history and product-specific assessment
Corridor throughput recoverytonnes/day²State the measurement window and baseline
Essential fill-rate deteriorationpercentage points/dayDisaggregate protected users and locations
Supplier restart convergencedays of mismatch/weekAssess whether repair milestones restore synchronized flows

Section readings [L02; L11; L13]

SECTION 17

Uncertainty (σ): evidence and model limits

Uncertainty arises from hidden supplier tiers, unreliable inventory, uncertain duration of closure, changing recipient demand and competing access to alternatives. These sources should remain separate in the evidence register. A precise vessel position does not eliminate uncertainty about cargo, onward transport or final receipt. Use ranges and sensitivity tests to identify which missing information changes the decision. If the preferred strategy depends on an unverified alternate’s available capacity, obtaining that evidence is more valuable than adding decimal places to a network-level resilience score. [L05] [L11] [L16]

Uncertainty should be recorded by object and source. Measurement uncertainty, sampling limitations, parameter uncertainty, model structure, future scenarios and institutional ambiguity cannot be replaced by one unsupported percentage. More simulation samples can reduce numerical sampling error without resolving a missing mechanism. Identify which uncertainty changes the decision and which further observation, comparison or test could reduce it.

Case-analysis method
Source of uncertaintyObject affectedTreatment
MeasurementInstrument error, drift, reference system and quality controls.Calibration, cross-check and traceable metadata.
SamplingSpatial, temporal or population coverage.A design matched to the decision and exposed groups.
ParametersValues weakly identified by available observations.Estimation, sensitivity and alternatives.
Model structureProcesses excluded or represented inadequately.Competing models and tests outside the fitting conditions.
ScenarioUncertain future demand, environment or operating practice.A declared set of plausible trajectories.
DependenceCorrelated conditions or failures treated as independent.Joint analysis and explicit common-cause hypotheses.
InstitutionsUnverified duties, access or resource availability.Documentary checks and mobilization tests.
Unknown mechanismsA plausible process with insufficient evidence.A research question and decisions robust to the unresolved gap.

Section readings [L05; L11; L16; C06]

SECTION 18

Reversibility liquidity (Lr): usable recovery resources

Recovery capacity is the ability to restore a required flow under the same conditions that caused interruption. Count qualified alternate production, deliverable stocks, repair resources, accessible transport and working capital. Compare time to recover with time to survive, including qualification, clearance and last-mile delivery. Nominal supplier capacity can be double counted by many buyers, and a reserve stored at the affected node may be inaccessible. A resource register should therefore include activation terms, availability evidence and common-mode exposure, with explicit attention to users who cannot purchase priority service. [L01] [L04] [L11]

Lr examines resources that can preserve, contain or recover the defined function within the relevant time. A resource listed in an inventory is different from a resource that is accessible, compatible, staffed and mobilizable. Record capacity, useful arrival time, duration, dependencies and evidence of testing. Avoid averaging away an essential bottleneck. Recovery of a service does not necessarily restore ecological condition, accumulated losses or public trust.

Recovery resources to verify in the case
Recovery resourceAvailability or mobilization questionVerification or dependency
Qualified alternate suppliersReplace critical inputsVerify available capacity, lead time and specification
Strategic usable stocksBridge interruptionRecord expiry, location and allocation rights
Multimodal transport agreementsShift disrupted flowsVerify handling equipment and route capacity
Cold-chain equipmentPreserve sensitive goodsTest power autonomy and calibrated monitoring
Critical spare partsRestore failed assetsLink parts to specific repair tasks
Warehouse overflow spaceReduce congested nodesVerify accessibility and handling compatibility
Customs liaison capacityResolve clearance barriersUse lawful documented priority processes
Supplier support arrangementsPrevent avoidable insolvencyClarify terms and monitor outcomes
Trusted data exchangeMaintain common operational pictureRetain timestamps, provenance and correction logs
Last-mile delivery teamsReach isolated recipientsInclude local access knowledge and safe operating limits

Section readings [L01; L04; L11]

PART VI

Scenario and simulation intelligence

SECTION 19

Stress scenarios and comparative strategies

Construct scenarios around coherent combinations of disruption, demand and recovery policy. An isolated port closure differs from a regional flood affecting ports, roads and workers simultaneously. A demand surge differs from reduced production even when both create stock shortages. Compare current arrangements, preventive buffers and adaptive substitution, keeping the essential service objective constant. Include scenarios in which the expected alternate is unavailable or slower to qualify. A useful scenario asks which decisions remain effective across plausible conditions and which succeed only by shifting scarcity to other recipients. [L02] [L10] [L17]

A stress scenario states the initiating condition, prior state, time sequence, exposed function, shared dependencies and feasible responses. Its purpose is to reveal when a strategy loses usefulness and why. Compare alternatives across several conditions, including absent substitutes and simultaneous demand. Scenarios should lead to observations, tests and resource questions; assigning a precise event probability requires a separate justified model and evidence.

Five domain-anchored stress-test designs · N1
ScenarioInitiating mechanismObservation designStrategy comparison
A · Single-source critical inputNo qualified alternate can deliver before stock exhaustionCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
B · Canal restrictionDraft or transit limits reduce route throughputCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
C · Warehouse floodingStored inventory and handling systems fail togetherCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
D · Allocation inequityPriority customers absorb scarce supply while essential users lack accessCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
E · Low river navigabilityWater levels constrain draft and barge payloadCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.

Section readings [L02; L10; L17]

SECTION 20

Reproducible simulation and sensitivity analysis

Monte Carlo modeling can sample disruption duration, demand, transport delay and restoration time, but dependence assumptions are decisive. Flooded suppliers may share a port and workforce, while demand surges may coincide with transport restrictions. Independent sampling can therefore exaggerate diversification benefits. Retain the distinction between observed operational data and synthetic draws, and provide the distributional assumptions and random seed for an educational exercise. Report essential-service outcomes and sensitivity to alternate structures. A narrow interval from an incomplete network is not evidence that hidden sub-tier risk has been resolved. [L10] [L11] [L12]

Simulation is an explicit transformation of assumptions. Input distributions, dependencies, parameter estimation, output definition and testing must be documented. Numerical convergence does not establish model validity. Examine sensitivity to the function used, the weights selected, dependence assumptions and conditions outside the fitting data. The reproducible laboratory below is a synthetic exercise, separated from SPS and from any claim about real-event frequency.

Reproducible synthetic laboratory · N2
ElementSpecification
Samples and seed10,000 samples; Python Random; seed 2205151620.
Reference centersP = 0.72; ΔV = 0.62; σ = 0.40; Lr = 0.38.
Latent dispersion0.40, 0.45, 0.30, 0.40, respectively.
Common-factor loading0.65, 0.55, 0.35, −0.45, respectively.
Dependence constructionz_j = a_j g + √(1 − a_j²) ε_j; g and ε_j are independent standard normal draws.
Bounded transformationx_j = logistic[logit(m_j) + s_j z_j].
Learning outputQ = 0.35P + 0.25ΔV + 0.15σ + 0.25(1 − Lr).
Comparison conditionQ ≥ 0.70, selected only for this synthetic laboratory.
Calculated outputs under the declared assumptions
StatisticValue
Mean0.617
5th percentile0.515
Median0.620
95th percentile0.711
Fraction with Q ≥ 0.707.79%

The factor loadings define association on the latent scale. Correlations after the nonlinear transform should be estimated from the simulated samples. Q is a teaching index and is not SPS. Its exceedance fraction concerns the generated sample under these assumptions; it is not the probability of a real event or a forecast over a stated number of years. A temporal forecast would require a separately specified process and observation model.

Reproduce the calculation in Python
from random import Random
from math import log, exp, sqrt
from statistics import mean
rng = Random(2205151620)
m = [.72, .62, .40, .38]
s = [.40, .45, .30, .40]
a = [.65, .55, .35, -.45]
q = []
for _ in range(10000):
    g = rng.gauss(0, 1)
    x = []
    for mj, sj, aj in zip(m, s, a):
        z = aj*g + sqrt(1-aj*aj)*rng.gauss(0, 1)
        x.append(1/(1+exp(-(log(mj/(1-mj))+sj*z))))
    p, v, u, lr = x
    q.append(.35*p+.25*v+.15*u+.25*(1-lr))
q.sort()
print(mean(q), q[499], (q[4999]+q[5000])/2, q[9499])
print(sum(x >= .70 for x in q)/len(q))

Sensitivity exercise: remove the common factor, vary one dispersion, change the weight of recovery resources, and compare the ranking of the selected strategies. Then state which domain observations would be needed to replace each illustrative assumption. Use a suitable estimator when inputs are dependent; the common-factor experiment is a dependence check, not a claim that a particular Sobol estimator applies unchanged.

Section readings [L10; L11; L12; C03; C06]

SECTION 21

Restoration and performance verification

A recovery simulation should represent synchronization across the network. Restarting production creates little benefit if inputs cannot arrive or customers cannot receive output. Model repair milestones, usable inventory, transport capacity and allocation rules over time. Compare policies such as partial restart, qualified substitution, priority delivery and staged release of reserves. Examine who experiences the longest shortage and why. The model should generate explanations that can be checked against operational evidence, not merely an aggregate performance curve that conceals incompatible products, unmet remote demand or an unrealistic assumption of unlimited emergency transport. [L11] [L12] [L13]

Restoration follows prerequisites and verification conditions rather than a universal fixed clock. Tasks may proceed in parallel only where they do not compete for the same people, access, equipment or information. Protect essential functions while the critical path is addressed. Define what is measured before returning service, who can make that determination and which effects require continued observation after a technical restart.

Case-analysis method
StageAction and prerequisiteEvidence of usable progress
Protect essential usersProvide a feasible interim function while restoration proceeds.Coverage and actual receipt.
Restore prerequisitesRecover access, inputs, energy, information and competent personnel.Verified availability for the next task.
Restore the processRepair and operate the affected function within its relevant constraints.Technical tests matched to the failure mechanism.
Verify performanceMeasure the delivered outcome and remaining exposure.A predeclared verification record.
Authorize and communicateRecord who can declare the relevant return condition.Clear status, limitations and notification.
Follow upMonitor persistent effects and resolve causal and monitoring gaps.A review record and tracked corrective actions.

Section readings [L11; L12; L13]

PART VII

Restoration and recovery architecture

SECTION 22

Recovery provider capability

Provider assessment must match the task. A carrier’s routine performance does not establish competence with temperature-sensitive medicines, hazardous cargo or disrupted last-mile access. Examine equipment, operating permissions, staff training, traceability, backup arrangements and availability under regional demand. For substitute manufacturers, include product qualification and validation of usable output. Retain evidence of actual delivery capability rather than relying on brand recognition. Discussion of assessment criteria is educational and does not imply c-ECO certification or endorsement of a listed firm. The objective is a feasible function-preserving option with inspectable evidence. [L02] [L03] [L05]

Capability assessment must be specific to the task, place and stress conditions. A training certificate cannot demonstrate that a team can mobilize and deliver the required function. Inspect competence, safety, compatibility, relevant experience and actual availability. Define the verification method and limits of recognition. This teaching library does not establish a c-ECO provider certification scheme or substitute for professional or regulatory requirements.

Case-analysis method
CapabilityVerification
Technical capabilityEvidence relevant to the specific task, process and failure mechanism.
MobilizationA demonstrated route, team, equipment and useful arrival time.
CompatibilityProof that resources can work with the installation, data and local constraints.
Safety and responsibilitiesRelevant professional duties, safe work and accountable supervision.
VerificationPerformance tests, records and independent review proportionate to the task.
ContinuitySubstitutes and supplies under simultaneous demand or extended interruption.

Section readings [L02; L03; L05]

SECTION 23

Recovery sequencing and time constraints

Sequence restoration by functional prerequisites and bottlenecks. Power may be needed before refrigeration restarts; inspection and product release may follow plant repair; transport and recipient capacity must be available before dispatch. Distinguish tasks that can proceed in parallel from those sharing scarce technicians or parts. Recalculate the plan as new information arrives. A rapid local restart can worsen network congestion if downstream capacity is still constrained. The recovery schedule should therefore connect each milestone to verified flow and recipient service rather than equating completed repair expenditure with restored supply. [L11] [L12] [L13]

A recovery time objective is a decision criterion to test against real capacity. Distinguish mobilization, work, verification and decision time, and identify dependencies between tasks. Shared resources can prevent apparently parallel activities from proceeding together. Repeating the sequence with unavailable access, a specialist or a verification service reveals where a target relies on an untested assumption.

Case-analysis method
Sequencing itemCase requirement
Task and functionDefine the outcome, prerequisites and critical users.
Time componentsSeparate mobilization, execution, verification and decision time.
Shared resourcesIdentify people, equipment, access and systems needed by more than one task.
Parallel workDemonstrate that tasks can proceed together without competing for the same bottleneck.
Completion conditionSpecify the observation that permits the next task or return of the function.
SensitivityRepeat with unavailable resources or longer lead times to expose the critical path.

Section readings [L11; L12; L13]

SECTION 24

Equipment, inputs and replenishment

The inventory should distinguish physical quantity from usable and deliverable capacity. Record product specification, expiry, storage conditions, location, allocation rights, handling needs and release time. For transport, include vehicle type, route limits, fuel and qualified operators. For spare parts, identify the equipment and repair task they support. Reconcile system records with sampled physical checks and record correction dates. Shared warehouses and alternates should appear once with explicit competing commitments, preventing several plans from claiming the same reserve. A well-maintained register makes continuity assumptions testable before disruption. [L02] [L03] [L05]

Inventory analysis connects each item to a protected function. Use condition, compatibility, accessibility and consumption under stress rather than a nominal stock count alone. Replenishment time must include procurement, transport, installation and verification where relevant. A substitute that depends on the same supplier or platform may disappear in the same event. Keep the last inspection date and the evidence supporting usable availability.

Case-analysis method
Inventory fieldVerification
SpecificationIdentity, quantity, condition, compatibility and installation requirements.
AvailabilityLocation, access rights, expiry where relevant and verification date.
Stress consumptionUseful stock under the conditions studied, including losses and surge demand.
ReplenishmentSupplier, lead time, transport constraints and alternatives.
Common dependenceOther stocks or substitutes that share a supplier, access route, platform or energy source.
TestEvidence from inspection, deployment or a representative mobilization exercise.

Section readings [L02; L03; L05]

SECTION 25

Mutual aid and cooperation arrangements

Mutual assistance depends on compatible products, workable allocation rules and a realistic means of moving resources. Neighboring firms or jurisdictions may experience the same disruption, so an agreement is not independent capacity unless its exposure has been examined. Clarify the request route, release authority, reimbursement, chain of custody and safe operating limits. Test the arrangement through a tabletop or small operational exercise. Document what failed and how it was corrected. A signed agreement without usable stock, available transport or compatible specifications should remain a prospective option rather than verified recovery capacity. [L01] [L03] [L17]

Cooperation contributes to recovery when its scope, activation, resources and practical availability are demonstrated. Record who requests support, who authorizes it, the useful arrival time, responsibility for the work and conditions of return. Consider simultaneous demand across participants. A reference to an organization or network in the literature does not imply that c-ECO or a case partner has joined it or secured a deployment commitment.

Case-analysis method
Agreement elementQuestion
ActivationWho can request and authorize support, and on what documented basis?
ResourceWhat can actually be supplied, at what capacity and for how long?
DeliveryWhich access, transport, compatibility, information and safety conditions apply?
SimultaneityWhat happens when several participants need the resource at the same time?
ResponsibilityWhich actor controls the task and its records, verification and constraints?
ReviewHow are performance, remaining gaps and revised arrangements recorded?

Section readings [L01; L03; L17]

PART VIII

Research and source library

SECTION 26

Source classification and evidence quality

Evidence classification separates source role from evidentiary strength. A carrier’s status feed, an official port notice, a peer-reviewed model and a recipient’s report answer different questions. None should automatically override all the others. Record whether an observation measures movement, inventory, qualification, delivery or unmet need, and whether it is direct, inferred or simulated. This prevents an elaborate tracking system from being mistaken for complete visibility. A useful classification also identifies the correction owner and retention requirements so contradictory records can be reconciled without deleting the history of an operational decision. [L05] [L11] [L16]

Source classes organize origin and function; they do not form an automatic hierarchy of evidential strength. An official statistic, an operational record and a causal study answer different questions. Classify the product, not only the organization. Detect shared data origins so that a dashboard, article and secondary report based on one observation are not counted as three independent confirmations.

Case-analysis method
Source classContributionQuality criterion
A · Institutional / officialOfficial statistics, instruments, technical guidance and investigation records.Mandate, method, version, scope and actual applicability.
B · Operational / technicalMeasurements, process records, assets, inventories and delivered performance.Traceability, coverage, quality controls and usable access.
C · Academic / independentResearch designs, mechanism studies, models and independent observations.Methods, inference, reproducibility and fit to the question.

Section readings [L05; L11; L16; C04; C05]

SECTION 27

Institutional, regulatory and technical sources

Public and intergovernmental sources offer trade statistics, corridor restrictions, safety investigations and comparative logistics assessments. Their temporal and product resolution differ substantially. National annual trade totals may be appropriate for structural context but too slow for monitoring a time-critical shortage. A rapid assessment is a dated snapshot, not a permanent statement about current operating conditions. Preserve release dates and definitions, and connect broad evidence to local operational observations. Use final investigation reports when available, while keeping clear which claims were established at the time a case decision had to be made. [L17] [L18] [L21]

Institutional sources should be selected by product, method and scale. Record whether the source defines a requirement, observes a condition, reports an investigation or synthesizes a literature. A current portal may contain several editions and methods; cite the actual version used. Public access does not establish accuracy for a different question, and a restricted source can still be used only under its authorized conditions.

Institutional and technical source register
IDProduct / documentWhy it matters
[L17]Navigating troubled waters: Impact to global trade of disruption of shipping routes in the Red Sea, Black Sea and Panama CanalDated rapid assessment of interacting chokepoint disruptions.
[L18]Contact of Containership Dali with Francis Scott Key Bridge and Subsequent Bridge CollapseFinal investigation; use final findings instead of superseded preliminary causal speculation.
[L19]Chapter 2: Systemic risks, the Sendai Framework and the 2030 AgendaIncludes Thailand manufacturing disruption and systemic dependencies.
[L20]Private sector strengths applied: good practices in disaster risk reduction from JapanDocumented private-sector responses to the 2011 Great East Japan disaster.
[L21]Connecting to Compete 2023: Trade Logistics in an Uncertain Global EconomyBenchmarking logistics; national scores do not establish the status of one corridor.

Section readings [L17; L18; L21]

SECTION 28

Operational observations and monitoring products

Operational sources include purchase orders, bills of materials, stock records, manifests, temperature histories, warehouse events and proof of receipt. Their value depends on consistent identifiers and honest treatment of missing events. A booked shipment may never depart; a delivery confirmation may not mean that goods were usable. Sampling and reconciliation should test these assumptions. Protect confidential prices and supplier identities where necessary, publishing the mechanism and method without releasing internal project documents. The relevant criterion is whether the evidence supports the recipient’s essential function at the required time and specification. [L02] [L03] [L16]

Operational observations should show what the system delivered, not merely that an asset was declared available. Inspect the acquisition process, sensor or reporting changes, gaps, coverage and quality controls. Compare records with independent observations where feasible. Aggregated performance, a status dashboard and user experience can diverge because they concern different units, locations, periods or definitions of availability.

Observation products to obtain for the case
ObservationUnitInterpretationProvenance record
Time to recover critical supplydaysDefine restored quantity, quality and location; use supplier-specific evidenceRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Time to survive interruptiondaysEstimate from usable stock and prioritized consumption under the scenarioRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Essential-demand fill rate% orders or unitsSeparate critical users and avoid averages masking exclusionRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Usable inventory coverdays of prioritized demandExclude expired, inaccessible or unqualified stockRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Inventory accuracy% reconciled sampled unitsCompare systems with physical counts and trace correctionsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Lead-time mediandaysRetain origin, route, product and period definitionsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Lead-time tail95th percentile daysUse sufficient observations and document censoring of unfinished shipmentsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Supplier concentrationshare or HHIMeasure critical input tiers as well as first-tier spendRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Common sub-tier exposure% critical inputsDocument verified shared plants, routes and utilitiesRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Qualified alternate coverage% critical itemsCount alternates with actual capacity and current qualificationRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Port dwell timehoursSeparate terminal handling, customs and unavailable onward transportRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Vessel waiting timehoursUse port-call definitions and account for anchorage behaviorRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.

Section readings [L02; L03; L16]

SECTION 29

Academic research and independent evidence

Academic evidence provides definitions, experiments and models that clarify mechanisms and expose hidden assumptions. A bullwhip experiment informs ordering behavior; a port-criticality model informs network pathways; an input-output model explores aggregate indirect effects. These are complementary, not interchangeable. Examine validation, time resolution, substitution assumptions and the outcome measured before transferring a result to a case. A bibliography is strongest when each reading has a specific role in the analysis and its limits are stated. Institutional prestige cannot replace evidence that the method fits the logistics question being asked. [L08] [L09] [L14] [L22]

Read the research design before transferring a conclusion. Identify the question, unit of analysis, method, comparison, result, limitations and conditions that matter for the case. Foundational concepts, empirical studies, critical replications and technical syntheses serve different functions. A literature-supported mechanism may justify a hypothesis without validating a local threshold, forecasting performance or a complete TFP application.

Academic reading map: mechanisms and methods
IDResearch workContribution and limit
[L01]Building the Resilient Supply ChainNetwork visibility, collaboration and resilient design.
[L02]Perspectives in supply chain risk managementOperational and disruption risks; coordination and flexibility strategies.
[L03]Managing Disruption Risks in Supply ChainsIntegration of risk assessment and mitigation.
[L04]Ensuring Supply Chain Resilience: Development of a Conceptual FrameworkBalance between vulnerabilities and capabilities.
[L05]Ensuring Supply Chain Resilience: Development and Implementation of an Assessment ToolStructured assessment; interpretation depends on organizational context.
[L06]The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain ResilienceEvolution of resilience concepts and research priorities.
[L07]Understanding the concept of supply chain resiliencePreparedness, response and adaptive capability.
[L08]Information Distortion in a Supply Chain: The Bullwhip EffectDemand-signal amplification; distinguish it from physical disruption propagation.
[L09]Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory InformationBehavioral ordering and information-sharing experiments.
[L10]Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) caseEarly-pandemic simulation; scenario results are not observed forecasts.
[L11]Review of quantitative methods for supply chain resilience analysisQuantitative methods, resilience capacities and methodological limits.
[L12]Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerabilityDirection and propagation of network disruptions.
[L13]Ripple effect in the supply chain: an analysis and recent literatureStructural disruption propagation and recovery policies.
[L14]Ports’ criticality in international trade and global supply-chainsTrade-weighted port criticality and network substitution.
[L15]Systemic risks from climate-related disruptions at portsShared climate exposure and maritime network consequences.
[L16]Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping dataAIS-derived trade proxies; maritime flows are not the whole economy.
[L22]Global supply-chain effects of COVID-19 control measuresInput-output scenario modeling and its time-resolution limits.
[C01]Identifying, understanding, and analyzing critical infrastructure interdependenciesDistinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.
[C02]Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic FrameworkProvides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.
[C03]Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity indexMethodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.
[C04]The FAIR Guiding Principles for scientific data management and stewardshipGuides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.
[C07]A general framework for analyzing sustainability of social-ecological systemsSupports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

Section readings [L08; L09; L14; L22]

PART IX

Evidence matrices and historical intelligence

SECTION 30

Source–variable correspondence

A source-to-variable matrix should show how a quantity becomes an indicator. Inventory cover combines usable stock with prioritized demand; lead time combines dated process events; port throughput combines cargo movements and counting conventions. Retain provenance, product identifiers, units, time zone and revision history for each transformation. AIS movement can supplement missing operational data but does not directly establish cargo composition or final delivery. The matrix should identify which variables are observed, estimated or assumed and expose cases where improved data visibility changes the denominator rather than actual service performance. [L11] [L16] [L21]

The source–variable matrix exposes the path from an observation to an analytical representation. Preserve the raw unit, time, location, method, transformation and uncertainty. Multiple derived variables may share one observation and therefore share its limitations. Record the code or reproducible procedure, authorized access and version. A score should remain inspectable through its originating evidence rather than replacing that evidence.

Source–variable design matrix
ObservationUnitSource requirementCandidate analytical questionTransformation and limit
Time to recover critical supplydaysDefine restored quantity, quality and location; use supplier-specific evidenceP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Time to survive interruptiondaysEstimate from usable stock and prioritized consumption under the scenarioP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Essential-demand fill rate% orders or unitsSeparate critical users and avoid averages masking exclusionσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Usable inventory coverdays of prioritized demandExclude expired, inaccessible or unqualified stockLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Inventory accuracy% reconciled sampled unitsCompare systems with physical counts and trace correctionsP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Lead-time mediandaysRetain origin, route, product and period definitionsP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Lead-time tail95th percentile daysUse sufficient observations and document censoring of unfinished shipmentsσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Supplier concentrationshare or HHIMeasure critical input tiers as well as first-tier spendLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Common sub-tier exposure% critical inputsDocument verified shared plants, routes and utilitiesP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Qualified alternate coverage% critical itemsCount alternates with actual capacity and current qualificationP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Port dwell timehoursSeparate terminal handling, customs and unavailable onward transportσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Vessel waiting timehoursUse port-call definitions and account for anchorage behaviorLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.

Section readings [L11; L16; L21; C04; C05]

SECTION 31

Source–risk correspondence

A source-to-risk matrix tests the proposed causal chain. Evidence that a route is restricted does not alone prove an essential shortage if inventories and alternatives remain adequate. Conversely, a stable national import total may conceal failure of a unique product at one remote facility. Link each risk to records needed for interruption, exposure, propagation, consequence and recovery. Preserve conflicting evidence and specify the observation that would change the classification. This makes the matrix an investigation plan rather than a decorative crosswalk between institutions and risk labels. [L02] [L12] [L14]

A source–risk matrix should cover the threat, the observed state, the mechanism and the consequences separately. Evidence that an event occurred does not alone show why a function failed or who was affected. Use a chronology and alternative explanations to test the chain. A citation becomes useful when the specific part of the claim it supports and its limits are visible.

Source–risk evidence matrix
RiskProposed mechanismEvidence chainInvestigation requirement
Single-source critical inputNo qualified alternate can deliver before stock exhaustionThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Hidden sub-tier concentrationNominal suppliers share the same upstream producerThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Port closureCargo cannot enter or leave an essential corridorThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Canal restrictionDraft or transit limits reduce route throughputThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Bridge or access failurePort and warehouse access is severed despite intact terminalsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Rail corridor interruptionBlocked track concentrates demand on limited alternativesThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Road washoutLast-mile connectivity disappears under flood or landslideThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Airport cargo lossHigh-value or time-critical goods lose feasible transportThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Cold-chain excursionTemperature history invalidates product usabilityThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Warehouse floodingStored inventory and handling systems fail togetherThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.

Section readings [L02; L12; L14]

SECTION 32

Monitoring gaps and research priorities

Visibility gaps are often concentrated in supplier tiers, informal carriers and underserved recipients. A focal company may observe its first-tier orders while missing a shared upstream producer or the downstream users who cannot place an order. Prioritize gaps by their effect on decisions, not by the convenience of collecting more data. Community or recipient confirmation can reveal a shortage that transaction systems miss. Commercial confidentiality should lead to proportionate access controls and aggregation rather than unsupported assumptions of resilience. The gap register should state likely bias and the most useful next verification. [L01] [L07] [L16]

Prioritize a gap by its consequence for the decision. The next observation may be a targeted measurement, an independent comparison, a capability test or a correction of incompatible definitions. More data of the same kind may not resolve structural uncertainty. Specify the question, required observation, responsible custodian, time of collection and condition under which the gap is considered sufficiently addressed.

Case-analysis method
Monitoring gapDecision consequenceInvestigation
Spatial coverageExposed locations, groups or assets are not represented.Targeted observations matched to exposure.
Temporal resolutionA change occurs faster than the collection interval.A sampling interval fitted to the process and useful decision time.
Missing periodA critical part of the trajectory is absent.Independent backup and transparent missing-data handling.
Changing methodA sensor, reference or reporting practice changes.Overlap, comparison and version metadata.
Unmeasured mechanismImportant inputs or consequences are not observed.A mechanism-specific investigation and appropriate measurement.
Unverified resourcesA listed capacity has not been mobilized.Inspection and a representative deployment test.
Incompatible definitionsDatasets describe different populations, units or conditions.A documented harmonization and retained original values.
Access restrictionEvidence cannot be inspected or reused under current conditions.An authorized access and review arrangement.
Unequal representationSome users or effects disappear in aggregates.Disaggregated observation and a suitable participatory protocol.
Post-event follow-upReturn of service masks persistent effects.A monitoring period appropriate to the mechanism and affected function.

Section readings [L01; L07; L16; C03]

SECTION 33

Dependency matrix and propagation tests

The cross-domain matrix should record functional dependencies on energy, water, digital systems, finance, health and infrastructure. For each edge, specify minimum service, tolerance time, substitute, geographic common mode and supporting evidence. A bridge may be indispensable for port access even when the terminal itself is undamaged. A small chemical input may control a water-treatment function disproportionately to its market value. Comparing these pathways makes prioritization more defensible than ranking suppliers by spend. Test whether an intervention reduces system-wide harm or transfers congestion and scarcity to another essential network. [L03] [L14] [L18]

Transport networks adapt by rerouting, shifting modes and changing schedules, but substitute routes consume capacity and time. A port with modest local throughput can be critical for a specific input with few alternatives. Criticality is a relationship between network structure and the function being sustained. [L14] [L15]

Inventory creates a time buffer but can become unusable through spoilage, regulatory expiry, incompatible specifications or inaccessible storage. Count deliverable, verified stock at the required location rather than booked inventory in an enterprise system. [L02] [L03]

Recovery itself requires resources: labor, energy, spare parts, working capital, clearances and transport. Restoring one plant may not restore the network if its customers or suppliers remain disrupted. A phased recovery policy must account for both forward and backward propagation. [L11] [L12]

A dependency matrix should be directional and time-specific. Record the supplying function, receiving function, mechanism, useful delay, substitute and evidence. Test the destination when the origin becomes unavailable for different periods. Then remove a common prerequisite of the substitute. The resulting structure describes the case; it does not establish all connections in a global architecture or validate an edge weight.

Dependency matrix for case testing
DependencyMechanism and directionVerification or TFP inquiry
EnergyTransport, cold storage and handling require reliable power and fuelTest shared grid and refueling exposure
Water and sanitationProduction and hygiene may depend on water and treatment inputsLink critical consumables to inventory cover
Digital infrastructureBooking, routing and customs rely on trusted systemsMaintain offline operating procedures
FinanceWorking capital and payment systems sustain suppliersMap liquidity constraints and delayed reimbursement
HealthMedicines, oxygen and sterile inputs have strict useful delivery timesPrioritize recipient-specific continuity
Food and agriculturePerishability couples time, temperature and market accessTrack usable output rather than gross tonnage
InfrastructureBridges, roads and ports determine physical passageAssess access nodes as well as terminals
Emergency servicesRelief operations compete for transport and scarce itemsAgree transparent allocation and coordination
GovernanceCustoms, permits and safety rules govern substitutionMap actual decision rights and activation times
Mining and chemicalsSpecialized inputs have concentrated upstream processingMap multi-tier material dependencies

For each relationship, add the measured delay, duration of tolerable interruption, substitute and observation supporting the directed edge. Repeat the test for short, intermediate and extended unavailability. A generic list of linked sectors is not an estimated network, and no edge weight is validated by inclusion in this table.

Section readings [L03; L14; L18; C01; C02]

SECTION 34

Documented cases, near misses and recovery

Historical cases should be compared by mechanism and evidence type. Thailand’s floods illuminate industrial clustering; Japan’s 2011 disaster illustrates interacting production and infrastructure failures; pandemic studies distinguish observed shipping changes from modeled economic effects; recent canal and security disruptions illustrate simultaneous rerouting pressure. The Dali investigation connects vessel operation to bridge and access consequences. These cases do not establish one universal resilience threshold. Ask learners which products, lead times, legal requirements and alternative capacities must be comparable before a historical lesson supports action in their own network. [L16] [L17] [L18] [L19] [L20]

Historical analysis distinguishes observed loss, protective response, near miss and recovery. Several records can concern one event without becoming independent events. Preserve what the source actually investigated and avoid adding unsupported casualty, cost or restoration-time estimates. Compare cases by mechanism and evidence quality; the fact that one response was associated with an outcome does not alone establish a general causal effect.

Documented cases and comparative learning
Case / periodDocumented mechanism or study objectLearning and transfer questionSource
Thailand floods, 2011Industrial clusters and access losses disrupted manufacturing across production networksMap geographic common modes and sub-tier concentration rather than vendor names alone[L19]
Great East Japan earthquake and tsunami, 2011Interacting infrastructure and production damage challenged business continuityCompare stock buffers with time needed to qualify alternative production[L20]
COVID-19 maritime trade, 2020; study 2021AIS-derived movement changes revealed differentiated trade disruptionSeparate observed vessel movement from modeled total economic loss[L16]
Red Sea shipping disruption, 2023–2024Security conditions redirected vessels and lengthened maritime journeysAssess shared rerouting capacity and essential-goods lead-time tails[L17]
Panama Canal restrictions, 2023–2024Low water constrained canal transits and interacted with other route disruptionsModel climate exposure jointly with alternative-route availability[L17]
Dali and Francis Scott Key Bridge, Baltimore, 2024; final report 2025Vessel systems failure and bridge collision connected maritime operation to land access and port functionsAnalyze the functional network around a terminal and use final investigative findings[L18]
COVID-19 production-network scenarios, 2020Input-output modeling explored indirect effects of alternative control measuresCompare scenario assumptions with observations; modeled propagation is not a measured causal attribution[L22]

Section readings [L16; L17; L18; L19; L20]

SECTION 35

Integrated review, transfer and learning portfolio

A final logistics synthesis should identify the essential function, vulnerable dependency, remaining time margin, feasible intervention and evidence needed for reassessment. Link continuity to consequences in water, food, health and emergency services, while retaining worker safety and environmental burdens of rerouting or stockpiling. Deliverables should include a traceable network, a tested allocation rationale and a monitoring plan that can detect failure of the chosen strategy. Completion of the educational case is separate from project admission, data contribution, credentialing or licensing within c-ECO, each of which retains its own approval process. [L01] [L07] [L14]

The integrated portfolio should allow a reviewer to move from the question to observations, transformations, mechanism tests, scenarios and proposed monitoring. Make the strongest competing explanation and the most consequential unresolved gap visible. Transfer requires checking mechanisms, exposure and recovery resources in the new setting. Formation, optional credentialing, submission permission and licensing remain distinct processes; no case or data contribution enters the SIL without an associated fellow and applicable review.

Case-analysis method
Review stepEvidence requirement
SpecifyState the function, claim, exposed group, location and period.
TraceIdentify original observations, shared origins and transformations.
HarmonizeCompare units, reference systems, sampling and versions.
ChallengeTest alternative explanations and seek counter-evidence.
Evaluate uncertaintyIdentify which assumptions change the conclusion or recommended action.
Test transferCheck equivalence of mechanisms, exposure and recovery resources in another setting.
Record and updatePreserve reasons, limits, responsibility and the next review condition.

Section readings [L01; L07; L14; C04; C05]

RESEARCH AND READING PATHS

Annotated scientific and technical bibliography

The section citations connect domain mechanisms, methods and cases to the underlying sources. Read each reference for its question, design, findings and limits. Technical guides, case investigations and scholarly articles do not provide interchangeable forms of evidence.

  1. L01 · Peer-reviewed research

    Christopher, M.; Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management 15(2), 1–14.

    Original publication / source ↗

    Network visibility, collaboration and resilient design.

  2. L02 · Peer-reviewed research

    Tang, C.S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics 103, 451–488.

    Original publication / source ↗

    Operational and disruption risks; coordination and flexibility strategies.

  3. L03 · Peer-reviewed research

    Kleindorfer, P.R.; Saad, G.H. (2005). Managing Disruption Risks in Supply Chains. Production and Operations Management 14, 53–68.

    Original publication / source ↗

    Integration of risk assessment and mitigation.

  4. L04 · Peer-reviewed research

    Pettit, T.J.; Fiksel, J.; Croxton, K.L. (2010). Ensuring Supply Chain Resilience: Development of a Conceptual Framework. Journal of Business Logistics 31(1), 1–21.

    Original publication / source ↗

    Balance between vulnerabilities and capabilities.

  5. L05 · Peer-reviewed research

    Pettit, T.J.; Croxton, K.L.; Fiksel, J. (2013). Ensuring Supply Chain Resilience: Development and Implementation of an Assessment Tool. Journal of Business Logistics 34(1), 46–76.

    Original publication / source ↗

    Structured assessment; interpretation depends on organizational context.

  6. L06 · Peer-reviewed research

    Pettit, T.J.; Croxton, K.L.; Fiksel, J. (2019). The Evolution of Resilience in Supply Chain Management: A Retrospective on Ensuring Supply Chain Resilience. Journal of Business Logistics 40(1), 56–65.

    Original publication / source ↗

    Evolution of resilience concepts and research priorities.

  7. L07 · Peer-reviewed research

    Ponomarov, S.Y.; Holcomb, M.C. (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management 20(1), 124–143.

    Original publication / source ↗

    Preparedness, response and adaptive capability.

  8. L08 · Peer-reviewed research

    Lee, H.L.; Padmanabhan, V.; Whang, S. (1997). Information Distortion in a Supply Chain: The Bullwhip Effect. Management Science 43(4), 546–558.

    Original publication / source ↗

    Demand-signal amplification; distinguish it from physical disruption propagation.

  9. L09 · Peer-reviewed research

    Croson, R.; Donohue, K. (2006). Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information. Management Science 52(3), 323–336.

    Original publication / source ↗

    Behavioral ordering and information-sharing experiments.

  10. L10 · Peer-reviewed research

    Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E 136, 101922.

    Original publication / source ↗

    Early-pandemic simulation; scenario results are not observed forecasts.

  11. L11 · Peer-reviewed research

    Hosseini, S.; Ivanov, D.; Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E 125, 285–307.

    Original publication / source ↗

    Quantitative methods, resilience capacities and methodological limits.

  12. L12 · Peer-reviewed research

    Li, Y.; Chen, K.; Collignon, S.; Ivanov, D. (2021). Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability. European Journal of Operational Research 291, 1117–1131.

    Original publication / source ↗

    Direction and propagation of network disruptions.

  13. L13 · Peer-reviewed research

    Dolgui, A.; Ivanov, D.; Sokolov, B. (2018). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research 56, 414–430.

    Original publication / source ↗

    Structural disruption propagation and recovery policies.

  14. L14 · Peer-reviewed research

    Verschuur, J.; Koks, E.E.; Hall, J.W. (2022). Ports’ criticality in international trade and global supply-chains. Nature Communications 13, 4351.

    Original publication / source ↗

    Trade-weighted port criticality and network substitution.

  15. L15 · Peer-reviewed research

    Verschuur, J.; Koks, E.E.; Hall, J.W. (2023). Systemic risks from climate-related disruptions at ports. Nature Climate Change 13, 804–806.

    Original publication / source ↗

    Shared climate exposure and maritime network consequences.

  16. L16 · Peer-reviewed research

    Verschuur, J.; Koks, E.E.; Hall, J.W. (2021). Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping data. PLOS ONE 16, e0248818.

    Original publication / source ↗

    AIS-derived trade proxies; maritime flows are not the whole economy.

  17. L17 · Official technical assessment

    UNCTAD (2024). Navigating troubled waters: Impact to global trade of disruption of shipping routes in the Red Sea, Black Sea and Panama Canal. UNCTAD/OSG/INF/2024/2.

    Original publication / source ↗

    Dated rapid assessment of interacting chokepoint disruptions.

  18. L18 · Official investigation

    NTSB (2025). Contact of Containership Dali with Francis Scott Key Bridge and Subsequent Bridge Collapse. Marine Investigation Report MIR-25-40.

    Original publication / source ↗

    Final investigation; use final findings instead of superseded preliminary causal speculation.

  19. L19 · Official assessment

    UNDRR (2019). Chapter 2: Systemic risks, the Sendai Framework and the 2030 Agenda. Global Assessment Report on Disaster Risk Reduction.

    Original publication / source ↗

    Includes Thailand manufacturing disruption and systemic dependencies.

  20. L20 · Official case collection

    UNDRR (2013). Private sector strengths applied: good practices in disaster risk reduction from Japan. Case collection.

    Original publication / source ↗

    Documented private-sector responses to the 2011 Great East Japan disaster.

  21. L21 · Official data and report

    World Bank (2023). Connecting to Compete 2023: Trade Logistics in an Uncertain Global Economy. Logistics Performance Index.

    Original publication / source ↗

    Benchmarking logistics; national scores do not establish the status of one corridor.

  22. L22 · Peer-reviewed research

    Guan, D. et al. (2020). Global supply-chain effects of COVID-19 control measures. Nature Human Behaviour 4, 577–587.

    Original publication / source ↗

    Input-output scenario modeling and its time-resolution limits.

  23. C01 · peer-reviewed

    Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.

    Original publication / source ↗

    Distinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.

  24. C02 · peer-reviewed

    Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38, 2245–2257.

    Original publication / source ↗

    Provides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.

  25. C03 · peer-reviewed

    Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.

    Original publication / source ↗

    Methodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.

  26. C04 · peer-reviewed

    Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.

    Original publication / source ↗

    Guides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.

  27. C05 · standard

    W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.

    Original publication / source ↗

    Represents provenance through entities, activities and agents; useful for connecting a result to its transformations and responsible contributors.

  28. C06 · technical guide

    JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.

    Original publication / source ↗

    A methodological basis for propagating input distributions through a specified model, rather than treating simulated frequency as an observed event probability.

  29. C07 · peer-reviewed

    Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.

    Original publication / source ↗

    Supports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

External sources are cited for research and learning. Their inclusion implies no partnership, certification or institutional endorsement.