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Vehicle Routing with Stochastic Demands: Properties and Solution Frameworks

Author

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  • Moshe Dror

    (Industrial Engineering and Management, Ben Gurion University of the Negev, P.O. Box 653, Beer Sheva 84 105, Israel, and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7)

  • Gilbert Laporte

    (Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7)

  • Pierre Trudeau

    (Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7)

Abstract

This paper considers the vehicle routing problem with stochastic demands. The objective is to provide an overview of this problem, and to examine a variety of solution methodologies. The concepts and the main issues are reviewed along with some properties of optimal solutions. The existing stochastic mathematical programming formulations are presented and compared and a new formulation is proposed. A new solution framework for the problem using Markovian decision processes is then presented.

Suggested Citation

  • Moshe Dror & Gilbert Laporte & Pierre Trudeau, 1989. "Vehicle Routing with Stochastic Demands: Properties and Solution Frameworks," Transportation Science, INFORMS, vol. 23(3), pages 166-176, August.
    • Handle: RePEc:inm:ortrsc:v:23:y:1989:i:3:p:166-176
    DOI: 10.1287/trsc.23.3.166
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