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A multi-objective model for a multi-period distribution management problem

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Abstract

The problems arising in commercial distribution are complex and involve several players and decision levels. One important decision is related with the design of the routes to distribute the products, in an efficient and inexpensive way. This article deals with a complex vehicle routing problem that can be seen as a new extension of the basic vehicle routing problem. The proposed model is a multi-objective combinatorial optimization problem that considers three objectives and multiple periods, which models in a closer way the real distribution problems. The first objective is cost minimization, the second is balancing work levels and the third is a marketing objective. An application of the model on a small example, with 5 clients and 3 days, is presented. The results of the model show the complexity of solving multi-objective combinatorial optimization problems and the contradiction between the several distribution management objective.

Suggested Citation

  • Rita Ribeiro & Helena Ramalhinho-Lourenço, 2001. "A multi-objective model for a multi-period distribution management problem," Economics Working Papers 532, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:532
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    Cited by:

    1. Jozefowiez, Nicolas & Semet, Frédéric & Talbi, El-Ghazali, 2009. "An evolutionary algorithm for the vehicle routing problem with route balancing," European Journal of Operational Research, Elsevier, vol. 195(3), pages 761-769, June.
    2. István Borgulya, 2008. "An algorithm for the capacitated vehicle routing problem with route balancing," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 16(4), pages 331-343, December.
    3. Helena Ramalhinho-Lourenço, 2001. "Supply chain management: An opportunity for metaheuristics," Economics Working Papers 538, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Halvorsen-Weare, Elin E. & Savelsbergh, Martin W.P., 2016. "The bi-objective mixed capacitated general routing problem with different route balance criteria," European Journal of Operational Research, Elsevier, vol. 251(2), pages 451-465.

    More about this item

    Keywords

    Distribution problem; multi-objective models;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other

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