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An Exact Method for the Vehicle Routing Problem with Backhauls

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  • Aristide Mingozzi

    (Department of Mathematics, University of Bologna, Piazza di Porta S. Donato, 5, 40127 Bologna, Italy)

  • Simone Giorgi

    (Department of Mathematics, University of Bologna, Piazza di Porta S. Donato, 5, 40127 Bologna, Italy)

  • Roberto Baldacci

    (The Management School, Imperial College, 53 Prince's Gate Exhibition Road, London SW7 2PG, United Kingdom)

Abstract

We consider the problem in which a fleet of vehicles located at a central depot is to be optimally used to serve a set of customers partitioned into two subsets of linehaul and backhaul customers. Each route starts and ends at the depot and the backhaul customers must be visited after the linehaul customers. A new (0–1) integer programming formulation of this problem is presented. We describe a procedure that computes a valid lower bound to the optimal solution cost by combining different heuristic methods for solving the dual of the LP-relaxation of the exact formulation. An algorithm for the exact solution of the problem is presented. Computational tests on problems proposed in the literature show the effectiveness of the proposed algorithms in solving problems up to 100 customers.

Suggested Citation

  • Aristide Mingozzi & Simone Giorgi & Roberto Baldacci, 1999. "An Exact Method for the Vehicle Routing Problem with Backhauls," Transportation Science, INFORMS, vol. 33(3), pages 315-329, August.
    • Handle: RePEc:inm:ortrsc:v:33:y:1999:i:3:p:315-329
    DOI: 10.1287/trsc.33.3.315
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    References listed on IDEAS

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    1. Marshall L. Fisher, 1981. "The Lagrangian Relaxation Method for Solving Integer Programming Problems," Management Science, INFORMS, vol. 27(1), pages 1-18, January.
    2. Goetschalckx, Marc & Jacobs-Blecha, Charlotte, 1989. "The vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 42(1), pages 39-51, September.
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