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Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks

机译:在存在供应链中断风险的情况下,综合选择供应商并安排客户订单

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摘要

This paper presents a new stochastic mixed integer programming approach to integrated supplier selection, order quantity allocation and customer order scheduling in the presence of supply chain disruption risks. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase parts required to complete the orders, how to allocate the demand for parts among the selected suppliers, and how to schedule the customer orders over the planning horizon to minimize total cost of ordering and purchasing of parts plus penalty cost of delayed and unfulfilled customer orders and to mitigate the impact of disruption risks. The risk-neutral and risk-averse solutions that optimize, respectively average and worst-case performance of a supply chain are compared for both single and multiple sourcing strategy. Numerical examples are presented and computational results are reported.
机译:本文提出了一种新的随机混合整数规划方法,用于在存在供应链中断风险的情况下进行集成供应商选择,订单数量分配和客户订单调度。给定一组产品的客户订单,决策者需要决定从哪个供应商那里购买完成订单所需的零件,如何在选定的供应商之间分配零件需求以及如何在计划范围内安排客户订单尽量减少订购和购买零件的总成本,以及延迟和未履行的客户订单的罚款成本,并减轻中断风险的影响。针对单一和多重采购策略,比较了分别优化供应链平均性能和最坏情况性能的风险中立和规避风险的解决方案。给出了数值示例,并报告了计算结果。

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