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A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19

Author

Listed:
  • Agnieszka Szmelter-Jarosz

    (Department of Logistics, Faculty of Economics, University of Gdańsk, Armii Krajowej 119/121, 81-824 Sopot, Poland)

  • Javid Ghahremani-Nahr

    (Faculty of ACECR, Development and Planning Institute, Tabriz 5154837693, Iran)

  • Hamed Nozari

    (Department of Industrial Engineering of Central Tehran Branch, Islamic Azad University, Tehran 1469669191, Iran)

Abstract

In this paper, a sustainable closed-loop supply chain problem is modelled in conditions of uncertainty. Due to the COVID-19 pandemic situation, the designed supply chain network seeks to deliver medical equipment to hospitals on time within a defined time window to prevent overcrowding and virus transmission. In order to achieve a suitable model for designing a sustainable closed-loop supply chain network, important decisions such as locating potential facilities, optimal flow allocation, and vehicle routing have been made to prevent the congestion of vehicles and transmission of the COVID-19 virus. Since the amount of demand in hospitals for medical equipment is unknown, the fuzzy programming method is used to control uncertain demand, and to achieve an efficient solution to the decision-making problem, the neutrosophic fuzzy method is used. The results show that the designed model and the selected solution method (the neutrosophic fuzzy method) have led to a reduction in vehicle traffic by meeting the uncertain demand of hospitals in different time windows. In this way, both the chain network costs have been reduced and medical equipment has been transferred to hospitals with social distancing.

Suggested Citation

  • Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr & Hamed Nozari, 2021. "A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:11:p:519-:d:669908
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    References listed on IDEAS

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    Cited by:

    1. Mehrnaz Bathaee & Hamed Nozari & Agnieszka Szmelter-Jarosz, 2023. "Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty," Logistics, MDPI, vol. 7(1), pages 1-33, January.
    2. Ali Pedram & Shahryar Sorooshian & Freselam Mulubrhan & Afshin Abbaspour, 2023. "Incorporating Vehicle-Routing Problems into a Closed-Loop Supply Chain Network Using a Mixed-Integer Linear-Programming Model," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    3. El Mehdi Ibnoulouafi & Mustapha Oudani & Tarik Aouam & Mounir Ghogho, 2022. "Intermodal Green p-Hub Median Problem with Incomplete Hub-Network," Sustainability, MDPI, vol. 14(18), pages 1-29, September.
    4. Esra Boz & Sinan Çizmecioğlu & Ahmet Çalık, 2022. "A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    5. Ezzatollah Asgharizadeh & Amir Daneshvar & Mahdi Homayounfar & Fariba Salahi & Mohsen Amini Khouzani, 2023. "Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    6. Luis Montesinos & Pedro Checa Rifá & Mireya Rifá Fabregat & Javier Maldonado-Romo & Stefano Capacci & Alessia Maccaro & Davide Piaggio, 2024. "Sustainability across the Medical Device Lifecycle: A Scoping Review," Sustainability, MDPI, vol. 16(4), pages 1-25, February.
    7. Javid Ghahremani-Nahr & Ramez Kian & Ehsan Sabet & Vahid Akbari, 2022. "A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach," Operational Research, Springer, vol. 22(5), pages 4685-4723, November.

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