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A stochastic multi-objective closed-loop global supply chain concerning waste management: a case study of the tire industry

Author

Listed:
  • Zahra Ghasemzadeh

    (Yazd University)

  • Ahmad Sadeghieh

    (Yazd University)

  • Davood Shishebori

    (Yazd University)

Abstract

Today, growth in the population and the use of vehicles have led to a growth in the production of waste tires and subsequently the creation of environmental concerns. Thus, choosing common strategies (such as retreading, recycling, burning, and disposal) to deal with these wastes and improve environmental conditions has become one of the most significant concerns of today's industries. In this study, a mixed-integer linear programming model has been used to develop a stochastic closed-loop supply chain network design (SCND). The proposed formulation has two objectives: (i) minimizing Eco-indicator 99 and (ii) maximizing profit in a multi-product, multi-echelon, and multi-period problem for tires. It is implemented in a practical case study in tire production industry. Also, uncertain parameters such as the return rate of products, demand, and the percentage of tire material provided by external suppliers are considered as possible scenarios. The improved version of the augmented ɛ-constraint, named AUGMECON2, is applied to solve the proposed problem. Finally, comprehensive sensitivity analysis is carried out to measure the efficiency. Obtained results represent that concerning global factors, an optimal closed-loop SCND can be very different and the problem is sensitive to the customs duty rate and exchange rate parameters. Besides, without considering the limitations of supplying raw materials by external suppliers, profits can increase by about 12%.

Suggested Citation

  • Zahra Ghasemzadeh & Ahmad Sadeghieh & Davood Shishebori, 2021. "A stochastic multi-objective closed-loop global supply chain concerning waste management: a case study of the tire industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5794-5821, April.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:4:d:10.1007_s10668-020-00847-2
    DOI: 10.1007/s10668-020-00847-2
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    References listed on IDEAS

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    Cited by:

    1. Essam Kaoud & Mohammad A. M. Abdel-Aal & Tatsuhiko Sakaguchi & Naoki Uchiyama, 2022. "Robust Optimization for a Bi-Objective Green Closed-Loop Supply Chain with Heterogeneous Transportation System and Presorting Consideration," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    2. Xuan Zhao & Benhong Peng & Chaoyu Zheng & Anxia Wan, 2022. "Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7725-7752, June.
    3. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.
    4. Chunlin Xin & Jie Wang & Ziping Wang & Chia-Huei Wu & Muhammad Nawaz & Sang-Bing Tsai, 2022. "Reverse logistics research of municipal hazardous waste: a literature review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1495-1531, February.
    5. Leonel J. R. Nunes & Laura Guimarães & Miguel Oliveira & Peter Kille & Nuno G. C. Ferreira, 2022. "Thermochemical Conversion Processes as a Path for Sustainability of the Tire Industry: Carbon Black Recovery Potential in a Circular Economy Approach," Clean Technol., MDPI, vol. 4(3), pages 1-16, July.
    6. 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.

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