ArticleApplied soft computing2021
Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic.
Article in Applied soft computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The trial behind it
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Who cites it
17 citing papers in PubMed, 100 citations in OpenAlex.
- Computational modeling and analysis of medical resource shortages in hospital alliance: A simulation-driven approach.PloS one · 2025Article
- Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era.Expert systems with applications · 2023Article
- Multi-Objective Optimization Method for Signalized Intersections in Intelligent Traffic Network.Sensors (Basel, Switzerland) · 2023Article
- Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19.Socio-economic planning sciences · 2023Article
- The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW).Engineering applications of artificial intelligence · 2023Article
- Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry.Environmental modeling and assessment · 2023Article
- Blood plasma supply chain planning to respond COVID-19 pandemic: a case study.Environment, development and sustainability · 2022Article
- Variable Neighborhood Search for Multi-Cycle Medical Waste Recycling Vehicle Routing Problem with Time Windows.International journal of environmental research and public health · 2022Article
- An optimal control policy in fighting COVID-19 and infectious diseases.Applied soft computing · 2022Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- Robust optimization model of anti-epidemic supply chain under technological innovation: learning from COVID-19.Annals of operations research · 2022Article
- Anti-COVID-19 Nanomaterials: Directions to Improve Prevention, Diagnosis, and Treatment.Nanomaterials (Basel, Switzerland) · 2022Review
- Impact of Socioeconomic Environment on Home Social Care Service Demand and Dependent Users.International journal of environmental research and public health · 2022Article
- Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithms.Applied soft computing · 2022Article
- Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms.Journal of cleaner production · 2022Article
- The Allocation Method for Personal Protective Equipment in the Emerging Infectious Disease Environment.Frontiers in public health · 2022Article
- Evaluating COVID-19 infection prevention measures in Malaysia: A fuzzy DEMATEL approach.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global epidemic caused by novel coronavirus continues to be a crisis in the world and a matter of concern. The way the epidemic has wreaked havoc on the international level has become difficult for the healthcare systems to supply adequately personal protection equipment for medical personnel all over the globe. In this paper, considering the COVID-19 outbreak, a multi-objective, multi-product, and multi-period model for the personal protection equipment demands satisfaction aiming to optimize total cost and shortage, simultaneously, is developed. The model is embedded with instances and validated by both modern and classic multi-objective metaheuristic algorithms. Moreover, the Taguchi method is exploited to set the metaheuristic into their best performances by finding their parameters' optimum level. Furthermore, fifteen test examples are designed to prove the established PPE supply chain model and tuned algorithms' applicability. Among the test examples, one is related to a real case study in Iran. Finally, metaheuristics are evaluated by a series of related metrics through different statistical analyses. It can be concluded from the obtained results that solution methods are practical and valuable to achieve the efficient shortage level and cost.
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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.