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A bi-objective model to increase security and reduce travel costs in the cash-in-transit sector

Author

Listed:
  • TALARICO, Luca
  • SÖRENSEN, Kenneth
  • SPRINGAEL, Johan

Abstract

In this paper, we present a variant of the vehicle routing problem (VRP) to increase security in the cash-in-transit sector. A specific index is used to quantify the exposure of a vehicle to the risk of being robbed along its route. In addition, the problem is subjected to a traditional capacity constraint, according to which a maximum amount of valuables can be transported inside the vehicle. This constraint might be imposed, for example, by insurance companies. A bi-objective formulation, aimed at reducing both the risk and the travel cost, is proposed. The objectives are conflicting since higher risk exposures allow a reduction of the travel cost needed to visit and collect valuables from all customers. A mathematical model of the problem is proposed and solved by using a progressive multi-objective metaheuristic. Realistic instances are also generated considering the geographical coordinates of several customers (e.g., stores, banks, shopping centres) located in Belgium. The proposed solution approach is tuned and tested both on these realistic instances and on standard benchmark instances for the capacitated vehicle routing problem.

Suggested Citation

  • TALARICO, Luca & SÖRENSEN, Kenneth & SPRINGAEL, Johan, 2014. "A bi-objective model to increase security and reduce travel costs in the cash-in-transit sector," Working Papers 2014026, University of Antwerp, Faculty of Business and Economics.
    • Handle: RePEc:ant:wpaper:2014026
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    File URL: https://repository.uantwerpen.be/docman/irua/11d333/e2336281.pdf
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    References listed on IDEAS

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    1. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms," Transportation Science, INFORMS, vol. 39(1), pages 104-118, February.
    2. TALARICO, Luca & SÖRENSEN, Kenneth & SPRINGAEL, Johan, 2013. "The k-dissimilar vehicle routing problem," Working Papers 2013029, University of Antwerp, Faculty of Business and Economics.
    3. Helena R. Lourenço & Olivier C. Martin & Thomas Stützle, 2010. "Iterated Local Search: Framework and Applications," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 363-397, Springer.
    4. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part II: Metaheuristics," Transportation Science, INFORMS, vol. 39(1), pages 119-139, February.
    5. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, March.
    6. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
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    More about this item

    Keywords

    Metaheuristic; Multi-objective optimization; Combinatorial optimization; Cash-in-transit; Security;
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