供应链
利润(经济学)
生产(经济)
计算机科学
业务
独创性
风险分析(工程)
运营管理
产业组织
运筹学
环境经济学
经济
营销
微观经济学
工程类
创造力
政治学
法学
作者
Sanjoy Kumar Paul,Priyabrata Chowdhury
出处
期刊:International Journal of Physical Distribution & Logistics Management
[Emerald (MCB UP)]
日期:2020-06-19
卷期号:51 (2): 104-125
被引量:302
标识
DOI:10.1108/ijpdlm-04-2020-0127
摘要
Purpose A recent global pandemic, known as coronavirus disease 2019 (COVID-19), affects the manufacturing supply chains most significantly. This effect becomes more challenging for the manufacturers of high-demand and most essential items, such as toilet paper and hand sanitizer. In a pandemic situation, the demand of the essential products increases expressively; on the other hand, the supply of the raw materials decreases considerably with a constraint of production capacity. These dual disruptions impact the production process suddenly, and the process can collapse without immediate and necessary actions. To minimize the impacts of these dual disruptions, we aim to develop a recovery model for making a decision on the revised production plan. Design/methodology/approach In this paper, the authors use a mathematical modeling approach to develop a production recovery model for a high-demand and essential item during the COVID-19. The authors also analyze the properties of the recovery plan, and optimize the recovery plan to maximize the profit in the recovery window. Findings The authors analyze the results using a numerical example. The result shows that the developed recovery model is capable of revising the production plan in the situations of both demand and supply disruptions, and improves the profit for the manufacturers. The authors also discuss the managerial implications, including the roles of digital technologies in the recovery process. Originality/value This model, which is a novel contribution to the literature, will help decision-makers of high-demand and essential items to make an accurate and prompt decision in designing the revised production plan to recover during a pandemic, like COVID-19.
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