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Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design

Author

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  • Abdul Salam Khan

    (NUST Business School (NBS), National University of Sciences and Technology (NUST), Islamabad 44100, Pakistan)

  • Qazi Salman Khalid

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan)

  • Khawar Naeem

    (Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25100, Pakistan)

  • Rafiq Ahmad

    (Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada)

  • Razaullah Khan

    (Department of Mechanical Engineering Technology, University of Technology, Nowshera 24100, Pakistan)

  • Waqas Saleem

    (Department of Mechanical and Manufacturing Engineering, Institute of Technology, F91 YW50 Sligo, Ireland)

  • Catalin Iulian Pruncu

    (Design, Manufacturing & Engineering Management, University of Strathclyde, Glasgow G1 1XJ, UK
    Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK)

Abstract

Closed-loop supply chains (CLSC) are gaining popularity due to their efficiency in addressing economic, environmental, and social concerns. An important point to ponder in the distribution of CLSC is that imperfect refrigeration and bad road conditions may result in product non-conformance during the transit and thus such products are to be returned to the supply node. This may hinder the level of customer satisfaction. This paper presents a sustainable closed-loop supply chain framework coupled with cross-docking subject to product non-conformance. A cost model is proposed to investigate the economic and environmental aspects of such systems. The transportation cost is analyzed in terms of total carbon emissions. A set of metaheuristics are administered to solve the model and a novel lower bound is proposed to relax the complexity of the proposed model. The results of different size problems are compared with the branch and bound approach and the proposed lower bound. The results indicate that the proposed research framework, mathematical model, and heuristic schemes can aid the decision-makers in a closed-loop supply chain context.

Suggested Citation

  • Abdul Salam Khan & Qazi Salman Khalid & Khawar Naeem & Rafiq Ahmad & Razaullah Khan & Waqas Saleem & Catalin Iulian Pruncu, 2021. "Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2433-:d:504837
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    References listed on IDEAS

    as
    1. Sahar Validi & Arijit Bhattacharya & P. J. Byrne, 2020. "Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model," Annals of Operations Research, Springer, vol. 290(1), pages 191-222, July.
    2. Humberto Brandão de Oliveira & Germano Vasconcelos, 2010. "A hybrid search method for the vehicle routing problem with time windows," Annals of Operations Research, Springer, vol. 180(1), pages 125-144, November.
    3. Zhang, Linghong & Wang, Jingguo & You, Jianxin, 2015. "Consumer environmental awareness and channel coordination with two substitutable products," European Journal of Operational Research, Elsevier, vol. 241(1), pages 63-73.
    4. Jayaraman, Vaidyanathan & Ross, Anthony, 2003. "A simulated annealing methodology to distribution network design and management," European Journal of Operational Research, Elsevier, vol. 144(3), pages 629-645, February.
    5. Sadok Turki & Stanislav Didukh & Christophe Sauvey & Nidhal Rezg, 2017. "Optimization and Analysis of a Manufacturing–Remanufacturing–Transport–Warehousing System within a Closed-Loop Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-20, April.
    6. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    7. M Wen & J Larsen & J Clausen & J-F Cordeau & G Laporte, 2009. "Vehicle routing with cross-docking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1708-1718, December.
    8. Fateme Heidari & Seyed Hessameddin Zegordi & Reza Tavakkoli-Moghaddam, 2018. "Modeling truck scheduling problem at a cross-dock facility through a bi-objective bi-level optimization approach," Journal of Intelligent Manufacturing, Springer, vol. 29(5), pages 1155-1170, June.
    9. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    10. Hong, Jiangtao & Diabat, Ali & Panicker, Vinay V. & Rajagopalan, Sridharan, 2018. "A two-stage supply chain problem with fixed costs: An ant colony optimization approach," International Journal of Production Economics, Elsevier, vol. 204(C), pages 214-226.
    11. Ozdemir, Deniz & Yucesan, Enver & Herer, Yale T., 2006. "Multi-location transshipment problem with capacitated transportation," European Journal of Operational Research, Elsevier, vol. 175(1), pages 602-621, November.
    12. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    13. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: A traditional versus social responsibility company perspective," European Journal of Operational Research, Elsevier, vol. 233(2), pages 359-373.
    14. Ming Liu & Rongfan Liu & Zhanguo Zhu & Chengbin Chu & Xiaoyi Man, 2018. "A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    15. Cheng, Chun & Qi, Mingyao & Zhang, Ying & Rousseau, Louis-Martin, 2018. "A two-stage robust approach for the reliable logistics network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 185-202.
    16. Fonseca, Gabriela B. & Nogueira, Thiago H. & Ravetti, Martín Gómez, 2019. "A hybrid Lagrangian metaheuristic for the cross-docking flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 275(1), pages 139-154.
    17. Qian, Jiani & Eglese, Richard, 2016. "Fuel emissions optimization in vehicle routing problems with time-varying speeds," European Journal of Operational Research, Elsevier, vol. 248(3), pages 840-848.
    18. M. Fonseca & Álvaro García-Sánchez & Miguel Ortega-Mier & Francisco Saldanha-da-Gama, 2010. "A stochastic bi-objective location model for strategic reverse logistics," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 158-184, July.
    19. Asad Kamal & Rai Waqas Azfar & Bashir Salah & Waqas Saleem & Muhammad Abas & Razaullah Khan & Catalin I. Pruncu, 2021. "Quantitative Analysis of Sustainable Use of Construction Materials for Supply Chain Integration and Construction Industry Performance through Structural Equation Modeling (SEM)," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    20. Rais, A. & Alvelos, F. & Carvalho, M.S., 2014. "New mixed integer-programming model for the pickup-and-delivery problem with transshipment," European Journal of Operational Research, Elsevier, vol. 235(3), pages 530-539.
    21. Jaehyun Choi & Jia Xuelei & WoonSeong Jeong, 2018. "Optimizing the Construction Job Site Vehicle Scheduling Problem," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
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