In emergency logistics, it is important to allocate available assets to operations effectively due to the resource scarcity. This paper considers a supply chain network which includes local and global suppliers of medical relief items, regional and central distribution centers, and many customer demand points. Either pre-positioned resources at distribution centers or new assembly operations at them can fulfill resources demands. Moreover, a capacitated multi-stage operations scheduling problem is presented, in which renewable (medical teams) as well as non-renewable resources (standard or customized medical kits) are required in an emergency supply chain. In addition, a new mixed-integer programming model is presented and solved for small-sized problems. Further, for solving large-sized problems, a particle swarm optimization algorithm is developed. Finally, the performance of the proposed solution method is evaluated, and some sensitivity analyses are conducted on the more important parameters.

中文翻译：

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救灾行动中多资源应急供应链调度问题

在应急物流中，由于资源稀缺，将可用资产有效地分配给运营非常重要。本文考虑了一个供应链网络，其中包括本地和全球医疗救援物品供应商、区域和中央配送中心以及许多客户需求点。无论是在配送中心预置资源，还是在它们进行新的组装操作，都可以满足资源需求。此外，还提出了一个有能力的多阶段操作调度问题，其中紧急供应链中需要可再生（医疗团队）和不可再生资源（标准或定制的医疗包）。此外，还提出并解决了一种新的混合整数规划模型，用于解决小规模问题。此外，为了解决大型问题，开发了粒子群优化算法。最后，对所提出的求解方法的性能进行了评估，并对较重要的参数进行了一些敏感性分析。