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A novel maximum dispersion territory design model arising in the implementation of the WEEE-directive

Author

Listed:
  • E Fernández

    (Universitat Politècnica de Catalunya)

  • J Kalcsics

    (Universität Karlsruhe (TH))

  • S Nickel

    (Universität Karlsruhe (TH))

  • R Z Ríos-Mercado

    (Universidad Autónoma de Nuevo León, San Nicolas de los Garzas)

Abstract

The problem discussed in this paper is motivated by the new recycling directive Waste Electrical and Electronic Equipment of the European Commission. The core of this law is, that each company which sells electrical or electronic equipment in a European country has the obligation to recollect and recycle an amount of returned items which is proportional to its market share. To assign collection stations to companies, in Germany for one product type a territory design approach is planned. However, in contrast to classical territory design, the territories should be geographically as dispersed as possible to avoid that a company, respectively its logistics provider responsible for the recollection, gains a monopoly in some region. First, we identify an appropriate measure for the dispersion of a territory. Afterwards, we present a first mathematical programming model for this new problem as well as a solution method based on the Greedy Randomized Adaptive Search Procedure methodology. Extensive computational results illustrate the suitability of the model and assess the effectiveness of the heuristic.

Suggested Citation

  • E Fernández & J Kalcsics & S Nickel & R Z Ríos-Mercado, 2010. "A novel maximum dispersion territory design model arising in the implementation of the WEEE-directive," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 503-514, March.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:3:d:10.1057_jors.2009.70
    DOI: 10.1057/jors.2009.70
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    Citations

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    Cited by:

    1. Shi, Jianmai & Chen, Wenyi & Verter, Vedat, 2023. "The joint impact of environmental awareness and system infrastructure on e-waste collection," European Journal of Operational Research, Elsevier, vol. 310(2), pages 760-772.
    2. Sandoval, M. Gabriela & Álvarez-Miranda, Eduardo & Pereira, Jordi & Ríos-Mercado, Roger Z. & Díaz, Juan A., 2022. "A novel districting design approach for on-time last-mile delivery: An application on an express postal company," Omega, Elsevier, vol. 113(C).
    3. Ríos-Mercado, Roger Z. & Bard, Jonathan F., 2019. "An exact algorithm for designing optimal districts in the collection of waste electric and electronic equipment through an improved reformulation," European Journal of Operational Research, Elsevier, vol. 276(1), pages 259-271.
    4. Bruno, Giuseppe & Diglio, Antonio & Passaro, Renato & Piccolo, Carmela & Quinto, Ivana, 2021. "Measuring spatial access to the recovery networks for WEEE: An in-depth analysis of the Italian case," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Gliesch, Alex & Ritt, Marcus, 2021. "A hybrid heuristic for the maximum dispersion problem," European Journal of Operational Research, Elsevier, vol. 288(3), pages 721-735.

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