Barman Abhijit, Das Rubi, De Pijus Kanti
Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam 788010 India.
Environ Syst Decis. 2022;42(3):338-349. doi: 10.1007/s10669-021-09836-w. Epub 2021 Oct 20.
An ongoing worldwide pandemic, known as Covid infection 2019 (COVID-19), influences the food supply chains significantly. In the pandemic situation, the movements of the people are restricted due to strict lock-down, and retail shops are closed. The supply of products to the customer is a challenging situation for the food supplier. These disruptions impact the food supply chain system suddenly, and the process can collapse without necessary and immediate actions. In this paper, a direct delivery channel has been used as a recovery strategy to minimize the effects of disruptions in the pandemic situation. In the recovery plan, the manufacturer appoints vendors and delivers the products directly to the customers by introducing multi-delivery channels. We optimize the recovery plan under the profit maximization criteria from the recovery window. Some numerical examples have been illustrated to justify that the developed recovery model can resist the reduction of demand and improve the profit of the system. Also, managerial insights are discussed which help the decision-makers to make an accurate and prompt decision of designing a recovery strategy during COVID-19.
一场名为2019冠状病毒病（COVID-19）的全球大流行正在持续，对食品供应链产生了重大影响。在大流行情况下，由于严格的封锁措施，人员流动受到限制，零售店也关门歇业。对于食品供应商而言，向客户供应产品是一个具有挑战性的局面。这些干扰突然影响食品供应链系统，若不采取必要且即时的行动，整个流程可能会崩溃。在本文中，一种直接配送渠道被用作一种恢复策略，以尽量减少大流行情况下干扰带来的影响。在恢复计划中，制造商指定供应商，并通过引入多配送渠道直接向客户交付产品。我们根据恢复窗口内利润最大化标准对恢复计划进行优化。通过一些数值示例来说明所开发的恢复模型能够抵御需求下降并提高系统利润。此外，还讨论了管理见解，这有助于决策者在COVID-19期间准确、迅速地做出设计恢复策略的决策。
