Zhu Jiangxiang, Shi Yangyan, Venkatesh V G, Islam Samsul, Hou Zhiping, Arisian Sobhan
Business School, Changzhou University, Changzhou, China.
School of Economics and Management, China University of Geosciences (Wuhan), Wuhan, China.
Ann Oper Res. 2022 Jun 15:1-27. doi: 10.1007/s10479-022-04758-5.
Large-scale disasters occur worldwide, with a continuing surge in the frequency and severity of disruptive events. Researchers have developed several optimization models to address the critical challenges of disaster relief supply chains (e.g., emergency material reserving and scheduling inefficiencies). However, most developed algorithms are proven to have low fault tolerance, which makes it difficult for disaster relief supply chain managers to obtain optimal solutions and meet the emergency distribution requirements within a limited time frame. Considering the uncertainty and ambiguity of disaster relief information and using Interval Type-2 Fuzzy Set (IT2TFS), this paper presents a collaborative optimization model based on an integrative emergency material supplier evaluation framework. The optimal emergency material suppliers are first selected using a multi-attribute group decision-making ranking method. Multi-objective fuzzy optimization is then run in three emergency phases: early -, mid-, and late-disaster relief stages. Focusing on a massive flash flood disaster event in Yunnan Province as a case study, a comprehensive numerical analysis tests and validates the developed model. The results revealed that the proposed optimization method can optimize emergency material planning while ensuring that reserve material safety inventory is always maintained at a reasonable level. The presented method suggests a fuzzy interval to prevent emergency materials' safety inventory shortage and minimize continuous life/property losses in disaster-affected areas.
全球范围内都在发生大规模灾害，破坏性事件的频率和严重程度持续飙升。研究人员已经开发了几种优化模型来应对救灾供应链的关键挑战（例如，应急物资储备和调度效率低下）。然而，事实证明，大多数已开发的算法容错能力较低，这使得救灾供应链管理者难以在有限的时间内获得最优解决方案并满足应急配送要求。考虑到救灾信息的不确定性和模糊性，本文使用区间二型模糊集（IT2TFS），提出了一种基于综合应急物资供应商评估框架的协同优化模型。首先使用多属性群体决策排序方法选择最优应急物资供应商。然后在三个应急阶段（救灾早期、中期和后期）进行多目标模糊优化。以云南省的一次大规模山洪灾害事件为例，进行了全面的数值分析，对所开发的模型进行了测试和验证。结果表明，所提出的优化方法可以优化应急物资规划，同时确保储备物资安全库存始终保持在合理水平。所提出的方法给出了一个模糊区间，以防止应急物资安全库存短缺，并最大限度地减少受灾地区持续的生命/财产损失。
