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Designing a Reverse Logistics Network for End-of-Life Vehicles Recovery

Author

Listed:
  • Masoud Zarei
  • Saeed Mansour
  • Ali Husseinzadeh Kashan
  • Behrooz Karimi

Abstract

The environmental factors are receiving increasing attention in different life cycle stages of products. When a product reaches its End-Of-Life (EOL) stage, the management of its recovery process is affected by the environmental and also economical factors. Selecting efficient methods for the collection and recovery of EOL products has become an important issue. The European Union Directive 2000/53/EC extends the responsibility of the vehicle manufacturers to the postconsumer stage of the vehicle. In order to fulfill the requirements of this Directive and also efficient management of the whole recovery process, the conceptual framework of a reverse logistics network is presented. The distribution of new vehicles in an area and also collecting the End-of-Life Vehicles (ELVs) and their recovery are considered jointly. It is assumed that the new vehicles distributors are also responsible for collecting the ELVs. Then a mathematical model is developed which minimizes the costs of setting up the network and also the relevant transportation costs. Because of the complexity of the model, a solution methodology based on the genetic algorithm is designed which enables achieving good quality solutions in a reasonable algorithm run time.

Suggested Citation

  • Masoud Zarei & Saeed Mansour & Ali Husseinzadeh Kashan & Behrooz Karimi, 2010. "Designing a Reverse Logistics Network for End-of-Life Vehicles Recovery," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-16, March.
    • Handle: RePEc:hin:jnlmpe:649028
    DOI: 10.1155/2010/649028
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    Cited by:

    1. Gu, Wei & Wang, Chen & Dai, Shufen & Wei, Lirong & Chiang, I. Robert, 2021. "Optimal strategies for reverse logistics network construction: A multi-criteria decision method for Chinese iron and steel industry," Resources Policy, Elsevier, vol. 74(C).
    2. Gołębiewski, Bronisław & Trajer, Jędrzej & Jaros, Małgorzata & Winiczenko, Radosław, 2013. "Modelling of the location of vehicle recycling facilities: A case study in Poland," Resources, Conservation & Recycling, Elsevier, vol. 80(C), pages 10-20.
    3. Elham Behmanesh & Jürgen Pannek, 2021. "A Comparison between Memetic Algorithm and Genetic Algorithm for an Integrated Logistics Network with Flexible Delivery Path," SN Operations Research Forum, Springer, vol. 2(3), pages 1-24, September.
    4. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
    5. Kannan, Devika & Diabat, Ali & Alrefaei, Mahmoud & Govindan, Kannan & Yong, Geng, 2012. "A carbon footprint based reverse logistics network design model," Resources, Conservation & Recycling, Elsevier, vol. 67(C), pages 75-79.
    6. Simic, Vladimir, 2015. "A two-stage interval-stochastic programming model for planning end-of-life vehicles allocation under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 19-29.

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