Today’s supply chains have a greater likelihood of disruption risks than ever before. Sometimes, a lengthy recovery period is needed for supply chains to return to regular operation after being disrupted. During the recovery time window, how to increase the performance of supply chains is not sufficiently studied. Furthermore, the works considering parameter uncertainty arising from the lack of historical data are also limited. To address these problems, we formulate the recovery scheduling of supply chains under major disruption as mixed-integer linear programming models. In the presented models, outsourcing strategy and capacity expansion strategy are introduced to increase the service level of the supply chain after the disruption. The effects of disruption risks on supply chain performance are quantified using uncertainty theory in the absence of historical data. A set of computational examples illustrate that cost may increase markedly when more facilities are disrupted simultaneously. Thus, decision-makers have to pay close attention to supply chain disruption management and plan for disruption in advance. Moreover, the results suggest that outsourcing strategy is more useful to reduce cost when a higher service level is required.

中文翻译：

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供应链从重大中断中恢复的多种策略

如今的供应链比以往任何时候都更有可能遭受破坏。有时，需要较长的恢复期才能使供应链在中断后恢复正常运行。在恢复时间窗口中，如何提高供应链绩效还没有得到足够的研究。此外，考虑由于缺乏历史数据而引起的参数不确定性的工作也受到限制。为了解决这些问题，我们将严重中断下的供应链恢复调度表述为混合整数线性规划模型。在提出的模型中，引入了外包策略和能力扩展策略，以在中断之后提高供应链的服务水平。在没有历史数据的情况下，使用不确定性理论来量化中断风险对供应链绩效的影响。一组计算示例表明，当同时破坏更多设施时，成本可能会显着增加。因此，决策者必须密切关注供应链中断管理并提前计划中断。而且，结果表明，当需要更高的服务水平时，外包策略对于降低成本更有用。