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Solving a Dynamic Real-Life Vehicle Routing Problem

In: Operations Research Proceedings 2005

Author

Listed:
  • Asvin Goel

    (University of Leipzig)

  • Volker Gruhn

    (University of Leipzig)

Abstract

Summary Real-life vehicle routing problems encounter a number of complexities that are not considered by the classical models found in the vehicle routing literature. In this paper we consider a dynamic real-life vehicle routing problem which is a combined load acceptance and generalised vehicle routing problem incorporating a diversity of practical complexities. Among those are time window restrictions, a heterogeneous vehicle fleet with different travel times, travel costs and capacity, multi-dimensional capacity constraints, order/vehicle compatibility constraints, orders with multiple pickup, delivery and service locations, different start and end locations for vehicles, route restrictions associated to orders and vehicles, and drivers’ working hours. We propose iterative improvement approaches based on Large Neighborhood Search. Our algorithms are characterised by very fast response times and thus, can be used within dynamic routing systems where input data can change at any time.

Suggested Citation

  • Asvin Goel & Volker Gruhn, 2006. "Solving a Dynamic Real-Life Vehicle Routing Problem," Operations Research Proceedings, in: Hans-Dietrich Haasis & Herbert Kopfer & Jörn Schönberger (ed.), Operations Research Proceedings 2005, pages 367-372, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-32539-0_58
    DOI: 10.1007/3-540-32539-5_58
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    Cited by:

    1. A. L. Kok & C. M. Meyer & H. Kopfer & J. M. J. Schutten, 2010. "A Dynamic Programming Heuristic for the Vehicle Routing Problem with Time Windows and European Community Social Legislation," Transportation Science, INFORMS, vol. 44(4), pages 442-454, November.

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