Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/311058 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Central European Journal of Operations Research [ISSN:] 1613-9178 [Volume:] 32 [Issue:] 3 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 865-896
Verlag: 
Springer, Berlin, Heidelberg
Zusammenfassung: 
Demand fulfillment and order management are important functions in semiconductor supply chains to interact with customers. In this paper, an iterative short-term demand supply matching (STDSM) algorithm based on mixed-integer linear programming (MILP) is proposed. This approach repromises orders taking into account the finite capacity of the shop floor. Decomposition is used to obtain computationally tractable subproblems. The STDSM approach is applied together with master planning and allocation planning in a rolling horizon setting. A simulation model of a simplified semiconductor supply chain is used for the rolling horizon experiments. The experiments demonstrate that the proposed STDSM scheme outperforms conventional business rule-based heuristics with respect to several delivery performance-related measures and with respect to stability.
Schlagwörter: 
Demand fulfillment
Short-term demand supply matching
Rolling horizon
Semiconductor supply chains
Discrete-event simulation
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