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Optimization and Analysis of a Manufacturing–Remanufacturing–Transport–Warehousing System within a Closed-Loop Supply Chain

Author

Listed:
  • Sadok Turki

    (Industrial Engineering and Production Laboratory of Metz, Lorraine University, Ile du Saulcy, 57045 Metz CEDEX, France)

  • Stanislav Didukh

    (Industrial Engineering and Production Laboratory of Metz, Lorraine University, Ile du Saulcy, 57045 Metz CEDEX, France
    Logistics and Transport Department, International University of Logistics and Transport, 51-168 Wroclaw, Poland)

  • Christophe Sauvey

    (Industrial Engineering and Production Laboratory of Metz, Lorraine University, Ile du Saulcy, 57045 Metz CEDEX, France)

  • Nidhal Rezg

    (Industrial Engineering and Production Laboratory of Metz, Lorraine University, Ile du Saulcy, 57045 Metz CEDEX, France)

Abstract

This paper deals with the optimization of a manufacturing–remanufacturing–transport–warehousing closed-loop supply chain, which is composed of two machines for manufacturing and remanufacturing, manufacturing stock, purchasing warehouse, transport vehicle and recovery inventory. The proposed system takes into account the return of used end-of-life products from the market. Manufactured and re-manufactured products are stored in the manufacturing stock. The used end-of-life products are stored in the recovery inventory for remanufacturing. The vehicle transports products from the manufacturing stock to the purchasing warehouse. The objective of this work is to simultaneously evaluate the optimal capacities of manufacturing stock, purchasing warehouse and the vehicle, as well as the optimal value of returned used end-of-life products. Those four decision variables minimize the total cost function. A discrete flow model, which is supposed to be the most realistic, is used to describe the system. An optimization program, based on a genetic algorithm, is developed to find the decision variables. Numerical results are presented to study the influence of transportation time, unit remanufacturing cost and configuration of the manufacturing/remanufacturing machines on the decision variables.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:561-:d:95195
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    References listed on IDEAS

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    1. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    2. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2007. "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1063-1077, June.
    3. Jian Li & Weihao Du & Fengmei Yang & Guowei Hua, 2014. "The Carbon Subsidy Analysis in Remanufacturing Closed-Loop Supply Chain," Sustainability, MDPI, vol. 6(6), pages 1-17, June.
    4. Ilkyeong Moon & Yoon Jea Jeong & Subrata Saha, 2016. "Fuzzy Bi-Objective Production-Distribution Planning Problem under the Carbon Emission Constraint," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    5. Rubinovitz, J. & Levitin, G., 1995. "Genetic algorithm for assembly line balancing," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 343-354, October.
    6. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Tang, Ou & Grubbstrom, Robert W., 2003. "The detailed coordination problem in a two-level assembly system with stochastic lead times," International Journal of Production Economics, Elsevier, vol. 81(1), pages 415-429, January.
    8. Kenné, Jean-Pierre & Dejax, Pierre & Gharbi, Ali, 2012. "Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 135(1), pages 81-93.
    9. Tang, Ou & Grubbstrom, Robert W., 2005. "Considering stochastic lead times in a manufacturing/remanufacturing system with deterministic demands and returns," International Journal of Production Economics, Elsevier, vol. 93(1), pages 285-300, January.
    10. Cornejo-Bueno, L. & Nieto-Borge, J.C. & García-Díaz, P. & Rodríguez, G. & Salcedo-Sanz, S., 2016. "Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach," Renewable Energy, Elsevier, vol. 97(C), pages 380-389.
    11. José Eduardo Galve & Daniel Elduque & Carmelo Pina & Carlos Javierre, 2016. "Sustainable Supply Chain Management: The Influence of Disposal Scenarios on the Environmental Impact of a 2400 L Waste Container," Sustainability, MDPI, vol. 8(6), pages 1-12, June.
    12. Mourani, Iyad & Hennequin, Sophie & Xie, Xiaolan, 2008. "Simulation-based optimization of a single-stage failure-prone manufacturing system with transportation delay," International Journal of Production Economics, Elsevier, vol. 112(1), pages 26-36, March.
    13. V. Daniel R. Guide & Luk N. Van Wassenhove, 2009. "OR FORUM---The Evolution of Closed-Loop Supply Chain Research," Operations Research, INFORMS, vol. 57(1), pages 10-18, February.
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