Analyzing the Effects of Covid-19 on Food Supply Chains: A Case Study on Ranking the Obstacles with ANP Methodology

分析新冠疫情对食品供应链的影响:基于ANP方法论的障碍排序案例研究

阅读:2

Abstract

Coronavirus pandemic has severely affected the supply chain network of many industries. Various activities have been disrupted throughout supply chains due to the increasing number of patients, death rate growth, quarantine regulations, social distancing, closed borders, and the phenomenal decrease in travel rate. Furthermore, the pandemic had dramatic effects on consumers' behavior all over the world, making them more eager/reluctant to purchase certain industrial products. In this paper, considering the actual supply chain of an Iranian company, the disruptive obstacles that the pandemic can create against properly undertaking activities in a food supply chain, are investigated. The examined obstacles are ranked and prioritized using the Analytical Network Process (ANP) technique. For this purpose, pairwise comparison questionnaires have been designed and completed by 28 managers and supervisors active in the food supply network. The answers are collected and the geometric mean of the matrices and their incompatibility rates are calculated. Based on the obtained results "labor shortage" and "low flexibility" have respectively the highest and lowest priorities among all analyzed obstacles.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。