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Stochastic reverse logistics network design for waste of electrical and electronic equipment

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  • Ayvaz, Berk
  • Bolat, Bersam
  • Aydın, Nezir

Abstract

In recent years, Reverse Logistics has received increasing attentions in supply chain management area. The reasons such as political, economic, green image and social responsibility etc. force firms to develop strategies to their current systems. The aim of this study is to propose a generic Reverse Logistics Network Design model under return quantity, sorting ratio (quality), and transportation cost uncertainties. We present a generic multi-echelon, multi-product and capacity constrained two stage stochastic programing model to take into consideration uncertainties in Reverse Logistics Network Design for a third party waste of electrical and electronic equipment recycling companies to maximize profit. We validated developed model by applying to a real world case study for waste of electrical and electronic equipment recycling firm in Turkey. Sample average approximation method was used to solve the model. Results show that the developed two stage stochastic programming model provides acceptable solutions to make efficient decisions under quantity, quality and transportation cost uncertainties.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:recore:v:104:y:2015:i:pb:p:391-404
    DOI: 10.1016/j.resconrec.2015.07.006
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    References listed on IDEAS

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    9. Adriana Scrioșteanu & Maria Magdalena Criveanu, 2023. "Reverse Logistics of Packaging Waste under the Conditions of a Sustainable Circular Economy at the Level of the European Union States," Sustainability, MDPI, vol. 15(20), pages 1-15, October.
    10. Suryawanshi, Pravin & Dutta, Pankaj, 2022. "Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    11. Xigang Yuan & Fei Tang & Dalin Zhang & Xiaoqing Zhang, 2021. "Green Remanufacturer’s Mixed Collection Channel Strategy Considering Enterprise’s Environmental Responsibility and the Fairness Concern in Reverse Green Supply Chain," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
    12. de Oliveira Neto, Geraldo Cardoso & de Jesus Cardoso Correia, Auro & Schroeder, Adriano Michelotti, 2017. "Economic and environmental assessment of recycling and reuse of electronic waste: Multiple case studies in Brazil and Switzerland," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 42-55.
    13. 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.
    14. Reddy, K. Nageswara & Kumar, Akhilesh & Choudhary, Alok & Cheng, T. C. Edwin, 2022. "Multi-period green reverse logistics network design: An improved Benders-decomposition-based heuristic approach," European Journal of Operational Research, Elsevier, vol. 303(2), pages 735-752.
    15. Nakatani, Jun & Konno, Kiyoto & Moriguchi, Yuichi, 2017. "Variability-based optimal design for robust plastic recycling systems," Resources, Conservation & Recycling, Elsevier, vol. 116(C), pages 53-60.
    16. Yalcin Berberoglu & Yigit Kazancoglu & Muhittin Sagnak, 2023. "Circularity assessment of logistics activities for green business performance management," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4734-4749, November.
    17. 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.
    18. Jia Mao & Jinyuan Cheng & Xiangyu Li & Honggang Zhao & Dexin Yu, 2023. "Simulation of Low Carbon Layout Optimization of Disassembly Line Based on SLP Method," Sustainability, MDPI, vol. 15(6), pages 1-26, March.
    19. Rui Li & Xin Chen, 2022. "Reverse Logistics Network Design under Disruption Risk for Third-Party Logistics Providers," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

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