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A Computerized Vehicle Routing Application

Author

Listed:
  • Marshall L. Fisher

    (Decision Sciences Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Arnold J. Greenfield

    (Decision Sciences Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • R. Jaikumar

    (Graduate School of Business Administration, Harvard University, Soldiers' Field, Boston, Massachusetts 02163)

  • Joseph T. Lester

    (Data General, Inc., Westboro, Massachusetts 01580)

Abstract

This paper describes a Management Science project at E. I. Du Pont, Inc., which utilized state-of-the-art computerized vehicle routing methods to reduce delivery costs for a major product by over 15%. The problem involved the assignment of over 1,500 customers to about 50 routes. The project illustrates him an Operations Research consulting team, working closely with line management can install a decision support system that provides major benefits.

Suggested Citation

  • Marshall L. Fisher & Arnold J. Greenfield & R. Jaikumar & Joseph T. Lester, 1982. "A Computerized Vehicle Routing Application," Interfaces, INFORMS, vol. 12(4), pages 42-52, August.
  • Handle: RePEc:inm:orinte:v:12:y:1982:i:4:p:42-52
    DOI: 10.1287/inte.12.4.42
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    Citations

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    Cited by:

    1. Malandraki, Chryssi & Dial, Robert B., 1996. "A restricted dynamic programming heuristic algorithm for the time dependent traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 90(1), pages 45-55, April.
    2. Belarmino Adenso-Díaz & Mónica González & Emérita García, 1998. "A Hierarchical Approach to Managing Dairy Routing," Interfaces, INFORMS, vol. 28(2), pages 21-31, April.
    3. Erhan Erkut & Tony Myroon & Kevin Strangway, 2000. "TransAlta Redesigns Its Service-Delivery Network," Interfaces, INFORMS, vol. 30(2), pages 54-69, April.
    4. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.
    5. Ichoua, Soumia & Gendreau, Michel & Potvin, Jean-Yves, 2003. "Vehicle dispatching with time-dependent travel times," European Journal of Operational Research, Elsevier, vol. 144(2), pages 379-396, January.

    More about this item

    Keywords

    transportation: route selection;

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