Home ›
Entities
› academia
› A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network
A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network
A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network
Summary
A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network is a scholarly article[1].
Key Facts
A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-signomial-programming-based-approach-for-multi-echelon-supply-chain-disruption-risk-assessment-with-robust-dynamic-bay