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Supply Chain Management of E-Waste for End-of-Life Electronic Products with Reverse Logistics

Author

Listed:
  • Shubham Kumar Singh

    (Department of Mathematics, Graphic Era Deemed to be University, Bell Road, Clement Town, Dehradun 248002, Uttarakhand, India)

  • Anand Chauhan

    (Department of Mathematics, Graphic Era Deemed to be University, Bell Road, Clement Town, Dehradun 248002, Uttarakhand, India)

  • Biswajit Sarkar

    (Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, Republic of Korea
    Center for Transdisciplinary Research (CFTR), Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, 162, Poonamallee High Road, Velappanchavadi, Chennai 600077, Tamil Nadu, India)

Abstract

Sustainable development and environmental pollution have become valuable stimulating factors for the resource recovery of end-of-life products through reverse logistics. E-waste is considered in reverse logistics. Electronic waste is solely responsible for environmental hazards and contains valuable raw materials that can be recycled/repaired, so reverse logistics is essential to minimizing their inappropriate disposal. This paper presents the mathematical model for multi-electronic products, considering multi-manufacturers and multi-retailers. After the end-of-life product, the reverse logistics network collects the e-waste in return processors where testing, sorting, and disassembling are carried out and then sent to the repair and recycling units. Components that are not repaired/recycled are shipped to the secondary manufacturer as raw materials. An electronic product’s reverse supply chain is employed to incorporate the idea of e-waste nullification. The fixed point iteration technique is used to solve the proposed model. A numerical example is analyzed to demonstrate the model’s efficacy where the total cost is minimized. The model’s validity and usefulness in reducing e-waste are validated through managerial insights into the model and sensitivity analysis of the key factors. The proposed policy suggests that the e-waste nullification strategy might be a useful apparatus for managers in ensuring long-term sustainability.

Suggested Citation

  • Shubham Kumar Singh & Anand Chauhan & Biswajit Sarkar, 2022. "Supply Chain Management of E-Waste for End-of-Life Electronic Products with Reverse Logistics," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:gam:jmathe:v:11:y:2022:i:1:p:124-:d:1016653
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    References listed on IDEAS

    as
    1. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    2. Liu, Huihui & Lei, Ming & Deng, Honghui & Keong Leong, G. & Huang, Tao, 2016. "A dual channel, quality-based price competition model for the WEEE recycling market with government subsidy," Omega, Elsevier, vol. 59(PB), pages 290-302.
    3. Amin Jafari & Jafar Heydari & Abbas Keramati, 2017. "Factors affecting incentive dependency of residents to participate in e-waste recycling: a case study on adoption of e-waste reverse supply chain in Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(1), pages 325-338, February.
    4. Ankita Ray & Arijit De & Sandeep Mondal & Junwei Wang, 2021. "Selection of best buyback strategy for original equipment manufacturer and independent remanufacturer – game theoretic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(18), pages 5495-5524, September.
    5. Kilic, Huseyin Selcuk & Cebeci, Ufuk & Ayhan, Mustafa Batuhan, 2015. "Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 120-132.
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    Cited by:

    1. Singh, Anshika & Goel, Abhinav, 2024. "Design of the supply chain network for the management of textile waste using a reverse logistics model under inflation," Energy, Elsevier, vol. 292(C).

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