供应链
业务
食物供应
范围(计算机科学)
供应链风险管理
2019年冠状病毒病(COVID-19)
匹配(统计)
供应网络
大流行
产业组织
供求关系
环境经济学
风险分析(工程)
供应链管理
营销
计算机科学
服务管理
经济
微观经济学
农业经济学
传染病(医学专业)
疾病
病理
程序设计语言
功率(物理)
物理
统计
医学
量子力学
数学
作者
Sube Singh,Ramesh Kumar,Rohit Panchal,Manoj Kumar Tiwari
标识
DOI:10.1080/00207543.2020.1792000
摘要
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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