Impact of COVID-19 on logistics systems and disruptions in food supply chain
Abstract
An outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been suspended, and it has affected the demand and supply of various products as a result of restrictions imposed on shopkeepers and retailers. Impacts of COVID-19 are observed ubiquitously in every type of units from different sectors. In this study, a simulation model of the public distribution system (PDS) network is developed with three different scenarios to demonstrate disruptions in the food supply chain. Difficulties have been increased in matching supply and demand in a vast network of PDS because of changing scenarios with the growth of infected cases and recovery. This paper also highlights the importance of a resilient supply chain during a pandemic. Our proposed simulation model can help in developing a resilient and responsive food supply chain to match the varying demand, and then further assist in providing decision-making support for rerouting the vehicles as per travel restrictions in areas. Paper has been summarised with significant highlights and including future research scope for developing a more robust food supply chain network.
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Blockchain has been recently applied to trace the donation of food and protective gear like N95 masks to support citizens in infected areas.
“As an example, blockchain has been recently applied to trace the donation of food and protective gear like N95 masks to support citizens in the infected area [92].”
From Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey (2021) · cites this paper as [92]
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Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30074-7 · Cited by 2,550 · see citing works
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020) · IEEE Access · doi:10.1109/access.2020.2992341 · Cited by 1,099 · see citing works
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Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access · doi:10.1109/access.2021.3093633 · Cited by 286 · see citing works
- Authors
- Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K.
- Affiliations
- Indian Institute of Technology Kharagpur (IN)
- Indian Institute of Management Mumbai (IN)
- Corresponding author
- Tiwari, Manoj Kumar
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2020-07-29
- Volume
- 59
- Issue
- 7
- Pages
- 1993-2008
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W3046156393
- Cited by
- 904
- References
- 2
- Citations by year
- 2026: 39 · 2025: 95 · 2024: 131 · 2023: 197 · 2022: 217 · 2021: 208 · 2020: 17
- FWCI
- 170.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Warwick Research Archive Portal (University of Warwick) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Supply Chain Resilience and Risk Management
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Facility Location and Emergency Management
- Keywords
- COVID-19 pandemic, food supply chain, supply chain disruption, public distribution system, supply-demand matching, supply chain resilience, logistics systems, vehicle rerouting, travel restrictions, lockdown, computer simulation
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