ArticleJournal of cleaner production2022
Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms.
Article in Journal of cleaner production, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era.Expert systems with applications · 2023Article
- Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty.Applied soft computing · 2023Article
- Article
- The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW).Engineering applications of artificial intelligence · 2023Article
- Designing a Resilient-Sustainable Supply Chain Network of Age-Differentiated Blood Platelets Using Vertical-Horizontal Transshipment and Grey Wolf Optimizer.International journal of environmental research and public health · 2023Article
- Multi-objective two-stage emergent blood transshipment-allocation in COVID-19 epidemic.Complex & intelligent systems · 2023Article
- Designing an optimal multi-objective model for a sustainable closed-loop supply chain: a case study of pomegranate in Iran.Environment, development and sustainability · 2023Article
- Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city.Computers & industrial engineering · 2023Article
- Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach.Applied soft computing · 2023Article
- Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review.Informatics in medicine unlocked · 2023Review
- Research on the Anti-Risk Mechanism of Mask Green Supply Chain from the Perspective of Cooperation between Retailers, Suppliers, and Financial Institutions.International journal of environmental research and public health · 2022Article
- Designing a sustainable reverse supply chain network for COVID-19 vaccine waste under uncertainty.Computers & industrial engineering · 2022Article
- A heuristic-based hybrid algorithm to configure a sustainable supply chain network for medical devices considering information-sharing systems.Environmental science and pollution research international · 2022Article
- Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates.Expert systems with applications · 2022Article
- Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients.Annals of operations research · 2022Article
- Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations.Annals of operations research · 2022Article
- Viable healthcare supply chain network design for a pandemic.Annals of operations research · 2022Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This study develops a novel mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to address the locational, supply, production, distribution, collection, quarantine, recycling, reuse, and disposal decisions within a multi-period multi-echelon multi-product supply chain. Additionally, sustainable development is studied in terms of minimizing the total cost, total pollution and total human risk at the same time. Since the CLSCN design is an NP-hard problem, Multi-Objective Grey Wolf Optimization (MOGWO) algorithm and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are implemented to solve the proposed model and to find Pareto optimal solutions. Since Meta-heuristic algorithms are sensitive to their input parameters, the Taguchi design method is applied to tune and control the parameters. Then, a comparison is performed using four assessment metrics including Max-Spread, Spread of Non-Dominance Solution (SNS), Number of Pareto Solutions (NPS), and Mean Ideal Distance (MID). Additionally, a statistical test is employed to evaluate the quality of the obtained Pareto frontier by the presented algorithms. The obtained results reveal that the MOGWO algorithm is more reliable to tackle the problem such that it is about 25% superior to NSGA-II in terms of the dispersion of Pareto solutions and about 2% superior in terms of the solution quality. To validate the proposed mathematical model and testing its applicability, a real case study in Tehran/Iran is investigated as well as a set of sensitivity analyses on important parameters. Finally, the practical implications are discussed and useful managerial insights are given.
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