Shock-Propagation Simulation Algorithm for Supply-Chain Resilience

A 5.5 KB Excel file containing a simulation algorithm framework developed by Job Agba Opue. The framework uses finite transformation semigroups to model supply-chain state evolution under cascading disruptions and resilience interventions. It was last updated on May 28, 2026.

Use Cases

• Modeling cascading disruptions in supply networks based on the described semigroup framework.
• Identifying minimal collapse-inducing sets and redundancy in logistics systems using basis-pruning algorithms.
• Assessing shock containment strategies by mapping semigroup properties to measurable resilience indicators.

Strengths

• Framework is based on explicit semigroup-theoretic criteria for collapse and stabilization.
• Algorithmic procedures and case studies are included, as mentioned in the description.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Job Agba Opue via figshare

Collection Method

Developed as a rigorous mathematical framework; likely contains analytical results and algorithmic procedures.

Freshness

Last updated 2026-05-28 17:39:56