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Design of the supply chain network for the management of textile waste using a reverse logistics model under inflation

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  • Singh, Anshika
  • Goel, Abhinav

Abstract

Global warming and ecological damage are growing concerns due to accelerated industrial production and waste generation rates. Since the textile industry significantly contributes to these environmental issues, implementing reverse logistics becomes crucial to mitigate improper disposal. This study, therefore, presents a framework that focuses on developing a supply chain that minimizes textile waste by adopting circular principles under inflation. It presents a sustainable textile production system involving retailers' and manufacturers' collaboration. The study also incorporates several key elements, including transporting residual components to a new supply chain, repairing defective items, and proper waste processing before disposal. Through this approach, the textile industry can make informed production decisions related to shipment and expenditures for waste treatment, thereby optimizing the overall cost. A numerical study is conducted to demonstrate the proposed framework's feasibility. The model's validity and practical applicability are assessed through a numerical example and sensitivity analysis of key factors.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:292:y:2024:i:c:s0360544224003876
    DOI: 10.1016/j.energy.2024.130615
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    References listed on IDEAS

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    1. 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.
    2. David A. Schrady, 1967. "A deterministic inventory model for reparable items," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 14(3), pages 391-398.
    3. Surendra Vikram Singh Padiyar & Vandana & Shiv Raj Singh & Dipti Singh & Mitali Sarkar & Bikash Koli Dey & Biswajit Sarkar, 2022. "Three-Echelon Supply Chain Management with Deteriorated Products under the Effect of Inflation," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
    4. Dharmendra Yadav & S.R. Singh & Rachna Kumari, 2015. "Retailer's optimal policy under inflation in fuzzy environment with trade credit," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(4), pages 754-762, March.
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