dc.contributor.author |
Madhavi, B. R. H. |
|
dc.contributor.author |
Wickramarachchi, Ruwan |
|
dc.date.accessioned |
2022-10-31T07:13:34Z |
|
dc.date.available |
2022-10-31T07:13:34Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Madhavi B. R. H.; Wickramarachchi Ruwan (2021), Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review, International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 216-222. |
en_US |
dc.identifier.uri |
http://repository.kln.ac.lk/handle/123456789/25384 |
|
dc.description.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. |
en_US |
dc.publisher |
Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka |
en_US |
dc.subject |
decision-making, fast-moving consumer goods, resilient supply chains |
en_US |
dc.title |
Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review |
en_US |