Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review

B. Madhavi, Ruwan Wickramarachchi
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引用次数: 5

Abstract

Decision-making during a crisis impacts the performance of an entire organization. Due to the COVID-19 pandemic, many organizations had undergone supply chain disruptions due to the forward and backward propagation of disruptions in the global supply chain networks, implying the importance of building up resilience in the supply chain networks. This study intends to systematically review the existing literature to determine the impact of optimal decision-making during crises to build up supply chain resilience. The paper has focused on the need for evaluating the impact of the COVID-19 pandemic on the FMCG industry and how supply chain resilience would improve in performance during such crises. The study also assessed the existing decision support systems for resilience in a supply chain network and their applicability during a crisis. Some of these models could be used to facilitate decision-making during an epidemic as well. Precisely determining resilience factors affected during an unexpected circumstance would enhance the value of the decision support system in use. Furthermore, it was concluded that the use of quantitative models should be further investigated, as most published work focuses on the conceptualization of a restricted number of resilience factors instead of the development of integrated, comprehensive approaches.
大流行期间快速消费品公司弹性供应链的决策模型:系统文献综述
危机中的决策会影响整个组织的绩效。由于COVID-19大流行,由于全球供应链网络中的中断正向和反向传播,许多组织经历了供应链中断,这意味着在供应链网络中建立弹性的重要性。本研究旨在系统回顾现有文献,以确定危机期间最优决策对建立供应链弹性的影响。本文重点讨论了评估COVID-19大流行对快速消费品行业影响的必要性,以及在此类危机期间供应链弹性将如何提高绩效。该研究还评估了现有的供应链网络弹性决策支持系统及其在危机期间的适用性。其中一些模型也可用于促进流行病期间的决策。准确地确定受意外情况影响的弹性因素将提高决策支持系统的使用价值。此外,结论是定量模型的使用应进一步研究,因为大多数已发表的工作侧重于将有限数量的弹性因素概念化,而不是开发综合综合的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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