Risk-averse decision-making to maintain supply chain viability under propagated disruptions

In this paper, stochastic optimisation of CVaR is applied to maintain risk-averse viability and improve resilience of a supply chain under propagated disruptions. In order to establish the risk-averse boundaries on supply chain viability space, two stochastic optimisation models are developed with t...

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Veröffentlicht in:	International journal of production research Jg. 62; H. 8; S. 2853 - 2867
Hauptverfasser:	Sawik, Tadeusz, Sawik, Bartosz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 17.04.2024 Taylor & Francis LLC
Schlagworte:	Boundaries Decision making Mixed integer Optimization Quadratic programming Resilience Risk Risk aversion stochastic mixed integer linear programming stochastic mixed integer quadratic programming Supply chain disruption management Supply chain management supply chain resilience supply chain viability Supply chains Viability
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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