ArticleIFAC-PapersOnLine2022
Analyzing the Effects of Covid-19 on Food Supply Chains: A Case Study on Ranking the Obstacles with ANP Methodology.
Article in IFAC-PapersOnLine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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3 authors.
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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.
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