Analyzing the Effects of Covid-19 on Food Supply Chains: A Case Study on Ranking the Obstacles with ANP Methodology
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View abstract on PubMed
Summary
This summary is machine-generated.The COVID-19 pandemic disrupted food supply chains, with labor shortages being the most significant obstacle. Low flexibility presented the least challenge in the analyzed Iranian food supply network.
Area Of Science
- Supply Chain Management
- Operations Research
- Pandemic Impact Studies
Background
- The COVID-19 pandemic has caused widespread disruptions across global industries.
- Supply chain activities faced significant challenges due to health regulations, travel restrictions, and changing consumer behavior.
- The food supply chain, critical for public well-being, experienced unique vulnerabilities.
Purpose Of The Study
- To investigate and prioritize the disruptive obstacles faced by an Iranian food supply chain during the COVID-19 pandemic.
- To apply a robust decision-making technique for ranking supply chain vulnerabilities.
Main Methods
- Utilized the Analytical Network Process (ANP) technique for obstacle prioritization.
- Designed and administered pairwise comparison questionnaires to 28 food supply chain managers and supervisors.
- Calculated geometric means and incompatibility rates from collected questionnaire data.
Main Results
- Identified and ranked various obstacles impacting the food supply chain.
- "Labor shortage" emerged as the most critical obstacle.
- "Low flexibility" was identified as the least significant obstacle among those analyzed.
Conclusions
- Labor shortages pose the most substantial threat to food supply chain operations during pandemics.
- Enhancing supply chain flexibility is crucial for mitigating pandemic-related disruptions.
- The ANP method provides a reliable framework for prioritizing risks in supply chain management.
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