{"title":"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","authors":"B. Madhavi, Ruwan Wickramarachchi","doi":"10.1109/scse53661.2021.9568303","DOIUrl":null,"url":null,"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.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review\",\"authors\":\"B. Madhavi, Ruwan Wickramarachchi\",\"doi\":\"10.1109/scse53661.2021.9568303\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":319650,\"journal\":{\"name\":\"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scse53661.2021.9568303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scse53661.2021.9568303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review
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.