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Design of Supply Chains under the Risk of Facility Disruptions

机译：设施中断风险下的供应链设计

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The design of efficient supply chains is a major challenge for companies in the process industry. Supply chain performance is subject to different sources of uncertainty including reliability of the facilities. Facility disruptions are among the most critical events that supply chains can experience. In order to reduce the undesirable effects of disruptions, these events must be anticipated at the design phase of the supply chain. This work addresses the design of supply chains under the risk of facility disruptions by simultaneously considering decisions on the facility location and the inventory management. The proposed formulation is based on a two-stage stochastic programming framework where the scenarios are determined by the possible combinations of facility disruptions. The first stage decisions include the location of distribution centers and their storage capacity. The second stage decisions involve assigning customer demands to the distribution centers that are available in every scenario. The objective is to minimize the sum of investment cost and the expected cost of distribution during a finite time horizon. The formulation is implemented and compared with the optimal solution of the deterministic design problem though an illustrative example. The results show that the proposed formulation generates supply chain designs with the capability to adjust to adverse scenarios. This flexibility translates into significant savings when disruptions occur in the operation of supply chains.
机译：高效供应链的设计是过程工业公司面临的主要挑战。供应链绩效受制于不确定性的不同来源，包括设施的可靠性。设备中断是供应链可能遇到的最关键事件之一。为了减少中断的不良影响，必须在供应链的设计阶段预见这些事件。这项工作通过同时考虑设施位置和库存管理的决策来解决设施中断风险下的供应链设计。提议的公式基于两阶段的随机编程框架，其中方案由设施破坏的可能组合决定。第一阶段的决策包括配送中心的位置及其存储容量。第二阶段的决策涉及将客户需求分配给在每种情况下都可用的配送中心。目的是在有限的时间范围内最小化投资成本和预期的分销成本之和。通过一个说明性的例子，将该公式付诸实施并与确定性设计问题的最佳解决方案进行比较。结果表明，所提出的公式可生成具有适应不利情景的能力的供应链设计。当供应链的运作发生中断时，这种灵活性可以节省大量资金。

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