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Zbl 1202.90166
Sawik, Tadeusz
Selection of a dynamic supply portfolio in make-to-order environment with risks.
(English)
[J] Comput. Oper. Res. 38, No. 4, 782-796 (2011). ISSN 0305-0548

Summary: 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 mixed integer programming 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.
MSC 2000:
*90B50 Multiple-criteria decision making
91B30 Risk theory etc.
90C11 Mixed integer programming
90B06 Transportation, logistics

Keywords: supply chain risk management; dynamic supply portfolio; conditional value-at-risk; scenarios; mixed integer programming

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Scientific prize winners of the ICM 2010
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Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

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