ArticleComputers & industrial engineering2021
Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context.
Article in Computers & industrial engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Predicting the effects of supply chain resilience and robustness on COVID-19 impacts and performance: Empirical investigation through resources orchestration perspective.Journal of business research · 2023Article
- Assessing last-mile distribution resilience under demand disruptions.Transportation research. Part E, Logistics and transportation review · 2023Article
- Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective.Computers & industrial engineering · 2023Article
- Article
- Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review.Informatics in medicine unlocked · 2023Review
- Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review.Procedia computer science · 2023Article
- Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic.Expert systems with applications · 2022Article
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
- Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies.International journal of disaster risk reduction : IJDRR · 2022Review
- Resilience and complexity measurement for energy efficient global supply chains in disruptive events.Technological forecasting and social change · 2022Article
- Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19.Annals of operations research · 2022Article
- COVID-19 pandemic: Supply chain risk management by integrating Interpretive Structural Modeling and Bayesian belief network.IFAC-PapersOnLine · 2022Article
- The application of industry 4.0 technologies in pandemic management: Literature review and case study.Healthcare analytics (New York, N.Y.) · 2021Article
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Authors and funding
2 authors.
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Abstract
In the wake of the COVID-19 pandemic, many firms lacked a strategy to cope with disruptions and maintain resiliency. In this study, we develop a measurement method to evaluate the impact of resilience strategies in a multi-stage supply chain (SC) in the presence of a pandemic. For the first time, we propose a method to deduce quantitative resilience assessment from simulation. We implement two resilience strategies, i.e., prepositioning extra-inventory and a backup supplier, and then we simulate its impact on SC resilience and financial performance. The simulation results indicate that the extra inventory leads to a higher resilience than a backup supplier but costs more for the given contextual setting. Finally, we examine the demand fulfillment and observe that the extra-inventory strategy allows for a higher service level, confirming our resilience simulations. We discuss the managerial implications of these findings on the descriptive and predictive analysis levels. Decision-makers can utilize our model and findings to develop a response plan in the occurrence of a pandemic or any long-duration high magnitude disruption. Also, scholars and managers can use our proposed method to measure SC resiliency from simulation in any disruption.
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