Dynamic structural adaptation for building viable supply chains under super disruption events

IF 5.8 1区 工程技术 Q1 ECONOMICS
Ming Liu , Zhongzheng Liu , Feng Chu , Feifeng Zheng , Alexandre Dolgui
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引用次数: 0

Abstract

Supply chain (SC) has been increasingly challenged by disruption events (DEs), where super DEs (SDEs) comprising a sequence of DEs, e.g., COVID-19, pose significant threats with long-term impacts. To hedge against SDEs, SC viability has been introduced, whose distinctive feature is the ability to adapt the SC structure. Building SC viability via dynamic SC structural adaptation under SDEs, however, has not been quantitatively addressed in the literature. This study investigates a novel viable SC building problem under SDEs. It consists of timely assessing the disruption risk and dynamically adapting the SC structure, to satisfy uncertain demands. The aim is to find the best balance between the disruption risk and the SC operational cost. To portray the structural and temporal risk propagations along the dynamic SC structure, a new structure-variable dynamic Bayesian network (SVDBN) is proposed. Then, a bi-objective mixed-integer non-linear programming (MI-NLP) model is established. Based on analyses of problem features, a decomposition-and-clustering (DC) heuristic algorithm is designed to solve the problem. Numerical experiments are conducted to evaluate the performance of the approach, and managerial insights are provided as well.
在超级中断事件下构建可行供应链的动态结构适应
供应链(SC)日益受到中断事件(DEs)的挑战,其中由一系列中断事件(例如COVID-19)组成的超级中断事件(SDEs)构成具有长期影响的重大威胁。为了对冲SDEs,引入了SC生存能力,其显著特征是适应SC结构的能力。然而,在SDEs下,通过动态SC结构适应来建立SC生存能力,在文献中尚未得到定量解决。本研究探讨了一种新的在SDEs下可行的SC建造问题。它包括及时评估中断风险和动态调整供应链结构,以满足不确定的需求。其目的是在中断风险和供应链运营成本之间找到最佳平衡。为了描述动态SC结构的结构和时间风险传播,提出了一种新的结构变动态贝叶斯网络(SVDBN)。然后,建立了双目标混合整数非线性规划(MI-NLP)模型。在分析问题特征的基础上,设计了一种分解聚类(DC)启发式算法来解决问题。数值实验进行了评估该方法的性能,并提供了管理的见解。
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来源期刊
Transportation Research Part B-Methodological
Transportation Research Part B-Methodological 工程技术-工程:土木
CiteScore
12.40
自引率
8.80%
发文量
143
审稿时长
14.1 weeks
期刊介绍: Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.
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