IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i8d10.1007_s10668-023-03421-8.html
   My bibliography  Save this article

A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study

Author

Listed:
  • Mahsa Taherifar

    (University of Tehran)

  • Negin Hasani

    (University of Tehran)

  • Mahsa Zokaee

    (University of Tehran)

  • Amir Aghsami

    (University of Tehran
    K. N. Toosi University of Technology)

  • Fariborz Jolai

    (University of Tehran)

Abstract

In the context of the COVID-19 pandemic, utilizing the potential of online markets to sell products has become increasingly important for creating competitive advantages and ensuring the growth and survival of businesses. The pandemic has disrupted traditional business practices, and with social distancing measures in place, consumers have turned to online channels to meet their needs. As a result, businesses that have adapted quickly to online markets have been able to maintain their customer base and revenue streams. Thus, considering the potential of online markets is of utmost importance in the current pandemic situation. In this regard, the present research aims to provide a practical framework for creating a green and sustainable closed-loop supply chain network (SCLSCN), including the integration of online markets, to assist managers in making decisions that support economic, environmental, and social goals. Accordingly, a multi-objective mixed integer linear programming (MOMILP) optimization model was designed under uncertain demand and disruption caused by natural disasters in Iran's home appliance industry. The study also considered changes in the capacities of online and marketplace sales channels, revealing a significant reduction in costs at each stage. The results show that the increase in demand has a direct impact on the production level, warehousing, and transportation costs, leading to social impacts on the model. However, the current system cannot handle an increase in demand of more than 20%, requiring managers to make decisions to increase production capacity or build new factories. Thus, the study highlights the importance of considering online markets as a means to adapt to disruptions caused by the pandemic and maintain a competitive edge.

Suggested Citation

  • Mahsa Taherifar & Negin Hasani & Mahsa Zokaee & Amir Aghsami & Fariborz Jolai, 2024. "A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19443-19490, August.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:8:d:10.1007_s10668-023-03421-8
    DOI: 10.1007/s10668-023-03421-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03421-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03421-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mukhopadhyay, Samar K. & Ma, Huafan, 2009. "Joint procurement and production decisions in remanufacturing under quality and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 120(1), pages 5-17, July.
    2. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    3. He, Qidong & Wang, Nengmin & Yang, Zhen & He, Zhengwen & Jiang, Bin, 2019. "Competitive collection under channel inconvenience in closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 155-166.
    4. Alvand Sadeghi & Hassan Mina & Niloofar Bahrami, 2020. "A mixed integer linear programming model for designing a green closed-loop supply chain network considering location-routing problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(2), pages 177-198.
    5. Hamed Soleimani & Prem Chhetri & Amir M. Fathollahi-Fard & S. M. J. Mirzapour Al-e-Hashem & Shahrooz Shahparvari, 2022. "Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics," Annals of Operations Research, Springer, vol. 318(1), pages 531-556, November.
    6. Fatemeh Sabouhi & Mohammad Saeed Jabalameli & Armin Jabbarzadeh & Behnam Fahimnia, 2020. "A multi-cut L-shaped method for resilient and responsive supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 58(24), pages 7353-7381, December.
    7. Yan, Yingchen & Zhao, Ruiqing & Liu, Zhibing, 2018. "Strategic introduction of the marketplace channel under spillovers from online to offline sales," European Journal of Operational Research, Elsevier, vol. 267(1), pages 65-77.
    8. Masoud Alinezhad & Iraj Mahdavi & Milad Hematian & Erfan Babaee Tirkolaee, 2022. "A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8779-8806, June.
    9. Hariga, Moncer & As’ad, Rami & Khan, Zeinab, 2017. "Manufacturing-remanufacturing policies for a centralized two stage supply chain under consignment stock partnership," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 362-374.
    10. Christian Homburg & Danijel Jozić & Christina Kuehnl, 2017. "Customer experience management: toward implementing an evolving marketing concept," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 377-401, May.
    11. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    12. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    13. Haddadsisakht, Ali & Ryan, Sarah M., 2018. "Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax," International Journal of Production Economics, Elsevier, vol. 195(C), pages 118-131.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanieh Shekarabi & Mohammad Mahdi Vali-Siar & Ashkan Mozdgir, 2024. "Food supply chain network design under uncertainty and pandemic disruption," Operational Research, Springer, vol. 24(2), pages 1-37, June.
    2. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    3. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    4. Nayeri, Sina & Sazvar, Zeinab & Heydari, Jafar, 2022. "A global-responsive supply chain considering sustainability and resiliency: Application in the medical devices industry," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. He, Qidong & Wang, Nengmin & Browning, Tyson R. & Jiang, Bin, 2022. "Competitive collection with convenience-perceived customers," European Journal of Operational Research, Elsevier, vol. 303(1), pages 239-254.
    6. Wang, Yuyan & Yu, Zhaoqing & Shen, Liang & Jin, Mingzhou, 2022. "Operational modes of E-closed loop supply chain considering platforms’ services," International Journal of Production Economics, Elsevier, vol. 251(C).
    7. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
    8. Abdolreza Roshani & Philip Walker-Davies & Glenn Parry, 2024. "Designing resilient supply chain networks: a systematic literature review of mitigation strategies," Annals of Operations Research, Springer, vol. 341(2), pages 1267-1332, October.
    9. Xuxin Lai & Nengmin Wang & Bin Jiang & Tao Jia, 2024. "Choosing Recovery Strategies for Waste Electronics: How Product Modularity Influences Cooperation and Competition," Sustainability, MDPI, vol. 16(20), pages 1-31, October.
    10. Shraddha Mishra & Surya Prakash Singh, 2022. "A stochastic disaster-resilient and sustainable reverse logistics model in big data environment," Annals of Operations Research, Springer, vol. 319(1), pages 853-884, December.
    11. Olfati, Marjan & Paydar, Mohammad Mahdi, 2023. "Towards a responsive-sustainable-resilient tea supply chain network design under uncertainty using big data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    12. Matsui, Kenji, 2022. "Optimal timing of acquisition price announcement for used products in a dual-recycling channel reverse supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 615-632.
    13. Nezamoddini, Nasim & Gholami, Amirhosein & Aqlan, Faisal, 2020. "A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks," International Journal of Production Economics, Elsevier, vol. 225(C).
    14. Jahani, Hamed & Abbasi, Babak & Alavifard, Farzad & Talluri, Srinivas, 2018. "Supply chain network redesign with demand and price uncertainty," International Journal of Production Economics, Elsevier, vol. 205(C), pages 287-312.
    15. Guo, Yuhan & Yu, Junyu & Allaoui, Hamid & Choudhary, Alok, 2022. "Lateral collaboration with cost-sharing in sustainable supply chain optimisation: A combinatorial framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    16. Aida Rezaei & Amir Aghsami & Masoud Rabbani, 2021. "Supplier selection and order allocation model with disruption and environmental risks in centralized supply chain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1036-1072, December.
    17. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.
    18. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.
    19. Matsui, Kenji, 2023. "Dual-recycling channel reverse supply chain design of recycling platforms under acquisition price competition," International Journal of Production Economics, Elsevier, vol. 259(C).
    20. Kanokporn Kungwalsong & Chen-Yang Cheng & Chumpol Yuangyai & Udom Janjarassuk, 2021. "Two-Stage Stochastic Program for Supply Chain Network Design under Facility Disruptions," Sustainability, MDPI, vol. 13(5), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:26:y:2024:i:8:d:10.1007_s10668-023-03421-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.