ArticleEnvironment systems & decisions2022
Logistics and supply chain management of food industry during COVID-19: disruptions and a recovery plan.
Article in Environment systems & decisions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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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Who cites it
4 citing papers in PubMed.
- Market Dynamics and Economic Drivers of Poland's Foreign Trade in Goose Meat and Offal.Foods (Basel, Switzerland) · 2026Article
- Hospital pharmacists' mental health during home isolation in the post-pandemic era of COVID-19: influencing factors, coping strategies, and the mediating effect of resilience.Frontiers in public health · 2024Article
- Resilience and lessons learned from COVID-19 emergency response.Environment systems & decisions · 2022Article
- Microbes of traditional fermentation processes as synthetic biology chassis to tackle future food challenges.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.