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Selection of Dynamic Supply Portfolio

In: Supply Chain Disruption Management

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  • Tadeusz Sawik

    (AGH University of Science and Technology
    Reykjavik University)

Abstract

The problem of a multi-period supplier selection and order allocation in make-to-order environment in the presence of supply chain disruption and delay risks is considered. Given a set of customer orders for finished products, the decision maker needs to decide from which supplier and when to purchase product-specific parts required for each customer order to meet customer requested due date at a low cost and to mitigate the impact of supply chain risks. The selection of suppliers and the allocation of orders over time is based on price and quality of purchased parts and reliability of supplies. For selection of dynamic supply portfolio a stochastic MIP approach is proposed to incorporate risk that uses conditional value-at-risk via scenario analysis. In the scenario analysis, the low-probability and high-impact supply disruptions are combined with the high-probability and low-impact supply delays. The proposed approach is capable of optimizing the dynamic supply portfolio by calculating value-at-risk of cost per part and minimizing expected worst-case cost per part simultaneously. Numerical examples are presented and some computational results are reported. The major managerial insights are provided at the end of this chapter.

Suggested Citation

  • Tadeusz Sawik, 2020. "Selection of Dynamic Supply Portfolio," International Series in Operations Research & Management Science, in: Supply Chain Disruption Management, edition 2, chapter 0, pages 47-75, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-44814-1_3
    DOI: 10.1007/978-3-030-44814-1_3
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    Cited by:

    1. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).

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