On the risk-averse optimization of service level in a supply chain under disruption risks

The worst-case optimization of service level in the presence of supply chain disruption risks is considered for the two different service levels measures: the expected worst-case demand fulfillment rate and the expected worst-case order fulfillment rate. The optimization problem is formulated as a j...

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Veröffentlicht in:	International journal of production research Jg. 54; H. 1; S. 98 - 113
1. Verfasser:	Sawik, Tadeusz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 02.01.2016 Taylor & Francis LLC
Schlagworte:	Alliances Confidence intervals Demand Disruption Optimization Optimization techniques Order processing Risk Risk aversion stochastic mixed integer programming stochastic scheduling Stochasticity Studies supplier selection Suppliers Supply chain management supply chain risk management Supply chains worst-case service level
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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