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A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem

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  • Eskandarpour, Majid
  • Zegordi, Seyed Hessameddin
  • Nikbakhsh, Ehsan

Abstract

Environmental and sustainability awareness in societies has attracted many academics and professionals from various disciplines to revise their thoughts and philosophies such as supply chain management. In particular, implementation of reverse logistics systems and closed-loop supply chain often results in reduced environmental pollution and costs, as well as increased customer satisfaction. In this study, a multi-objective post-sales network design model considering strategic and tactical decisions is proposed to minimize total fixed and variable costs, total tardiness, and environmental pollution. In addition to common network design decisions, various decisions such as technology and capacity level decisions as well as product selection at recovery facilities are considered. To tackle the proposed model, a parallel multi-objective heuristic based on variable neighborhood search (VNS) is developed to find Pareto-optimal solutions. The efficiency of proposed method is compared with an available efficient multi-objective memetic algorithm (MOMA). In addition, its results are compared with those of branch and bound methods of two commercial optimization packages for small and medium-sized test instances. Computational results demonstrate the superiority of the proposed algorithm in terms of solution quality and computational time over MOMA as well as the single-thread and multi-thread branch and bound methods. Furthermore, comparing the proposed heuristic with a standard VNS demonstrates the success of parallelization in thoroughly exploring solution space as well as improving number and quality of Pareto-optimal solutions.

Suggested Citation

  • Eskandarpour, Majid & Zegordi, Seyed Hessameddin & Nikbakhsh, Ehsan, 2013. "A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 117-131.
    • Handle: RePEc:eee:proeco:v:145:y:2013:i:1:p:117-131
    DOI: 10.1016/j.ijpe.2012.10.013
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    References listed on IDEAS

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    2. Vidyadhar V. Gedam & Rakesh D. Raut & Nishant Agrawal & Qingyun Zhu, 2023. "Critical human and behavioral factors on the adoption of sustainable supply chain management practices in the context of automobile industry," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 120-133, January.
    3. Subramanian, Nachiappan & Gunasekaran, Angappa, 2015. "Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 216-233.
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    5. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    6. 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.
    7. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.
    8. Banasik, Aleksander & Kanellopoulos, Argyris & Claassen, G.D.H. & Bloemhof-Ruwaard, Jacqueline M. & van der Vorst, Jack G.A.J., 2017. "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 409-420.
    9. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    10. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    11. Sadjady Naeeni, Hannan & Sabbaghi, Navid, 2022. "Sustainable supply chain network design: A case of the glass manufacturer in Asia," International Journal of Production Economics, Elsevier, vol. 248(C).
    12. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
    13. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    14. Pierre Hansen & Nenad Mladenović & Raca Todosijević & Saïd Hanafi, 2017. "Variable neighborhood search: basics and variants," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(3), pages 423-454, September.
    15. Sifaleras, Angelo & Konstantaras, Ioannis & Mladenović, Nenad, 2015. "Variable neighborhood search for the economic lot sizing problem with product returns and recovery," International Journal of Production Economics, Elsevier, vol. 160(C), pages 133-143.
    16. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.
    17. F. Tevhide Altekin & Ezgi Aylı & Güvenç Şahin, 2017. "After-sales services network design of a household appliances manufacturer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1056-1067, September.

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