Selection of a dynamic supply portfolio in make-to-order environment withrisks
Selection of a dynamic supply portfolio in make-to-order environment withrisks
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DOI：
10.1016/j.cor.2010.09.011
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发表时间：
2011-04
期刊：
影响因子：
--
通讯作者：
T. Sawik
中科院分区：
文献类型：
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作者：
T. Sawik
研究了存在供应链中断和延迟风险的按订单生产环境下的多周期供应商选择和订单分配问题。给定一组成品的客户订单，决策者需要决定从哪个供应商以及何时购买每个客户订单所需的产品特定部件，以低成本满足客户要求的到期日期，并减轻供应链风险的影响。随着时间的推移，供应商的选择和订单的分配是基于所购买零件的价格和质量以及供应的可靠性。对于动态供应组合的选择，通过情景分析，提出了一种混合整数规划方法，利用条件风险值将风险纳入其中。在情景分析中，将低概率、高影响的供应中断与高概率、低影响的供应延迟相结合。该方法通过计算每零件成本的风险价值，同时最小化每零件的预期最坏情况成本，从而能够优化动态供应组合。给出了数值算例，并给出了一些计算结果。
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.