Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/316970 
Erscheinungsjahr: 
2024
Quellenangabe: 
[Journal:] Operations Research Forum [ISSN:] 2662-2556 [Volume:] 5 [Issue:] 2 [Article No.:] 54 [Publisher:] Springer International Publishing [Place:] Cham [Year:] 2024
Verlag: 
Springer International Publishing, Cham
Zusammenfassung: 
We consider force-majeure supply disruptions in a dynamic, multi-product manufacturing supply chain with time-dependent parameters. We present a linear programming model that captures a specific force-majeure scenario with respect to several objective functions that can be combined in a multi-objective framework, e.g., minimization of loss, maximization of shortage-free time, or prioritization of mitigation types. Solving this model yields an optimal mitigation plan that describes how to best (re-)allocate supply and production operations. Supported mitigation options include plant-side safety stock, supplier-side inventories, and additional production thus reflecting the manufacturing setting of a large-scale industrial player. We describe a workflow for increasing the resilience of supply chains based on risk profiles generated by our approach.
Schlagwörter: 
Supply chain disruptions
Force-majeure scenarios
Mitigation
Risk analysis
Business continuity planning
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