Supply chain

Physics

Pathology

Business

Supply chain risk management

Scope (computer science)

Disease

Coronavirus disease 2019 (COVID-19)

Mathematics

Infectious disease (medical specialty)

Pandemic

Statistics

Risk analysis (engineering)

Supply and demand

Marketing

Environmental economics

Economics

Power (physics)

Matching (statistics)

Microeconomics

Programming language

Food supply

Computer science

Agricultural economics

Supply network

Quantum mechanics

Industrial organization

Supply chain management

Service management

Medicine

International Journal of Production Research

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.

Impact of COVID-19 on logistics systems and disruptions in food supply chain