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A rolling horizon planning approach for short-term demand supply matching

Author

Listed:
  • Raphael Herding

    (University of Hagen
    Westphalian University of Applied Sciences)

  • Lars Mönch

    (University of Hagen)

Abstract

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.

Suggested Citation

  • Raphael Herding & Lars Mönch, 2024. "A rolling horizon planning approach for short-term demand supply matching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 865-896, September.
    • Handle: RePEc:spr:cejnor:v:32:y:2024:i:3:d:10.1007_s10100-023-00891-z
    DOI: 10.1007/s10100-023-00891-z
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    References listed on IDEAS

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