Supply Chain Design Optimization With Heterogeneous Risk-Aware Agents

Modern supply chain networks (SCN) are becoming increasingly complex, with vulnerable entities exposed to uncertain disruptions that affect local or global supply chain attributes. We model a stochastic mixed-integer program to minimize the overall cost of SCN design and operations, in response to l...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 22; S. 9872 - 9883
Hauptverfasser:	Estrada-Garcia, Juan-Alberto, Tilbury, Dawn M., Barton, Kira, Shen, Siqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2025
Schlagworte:	conditional value-at-risk (CVaR) Costs Design optimization Lead Optimization Optimization models risk-averse optimization stochastic integer programming Stochastic processes Supply chain network design Supply chains Termination of employment Uncertainty Vectors
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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