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Optimizing Single Vehicle Many-to-Many Operations with Desired Delivery Times: I. Scheduling

Author

Listed:
  • Thomas R. Sexton

    (State University of New York, Stony Brook, New York)

  • Lawrence D. Bodin

    (University of Maryland, College Park, Maryland)

Abstract

A set of n customers is given. Each customer has a desired point of pickup, a desired point of delivery and a desired time of delivery. The problem is to determine the order of pickup and delivery and the times of pickup and delivery of these n customers by a single vehicle in order to minimize total customer inconvenience. Here, a mathematical programming formulating of this problem is subjected to Benders' decomposition procedure. The result is a heuristic routing and scheduling algorithm which is shown to produce high quality solutions in reasonable computation time by testing on moderately sized real data bases from both Gaithers-burg, Maryland, and Baltimore, Maryland. This study is divided into two parts, the first detailing the scheduling analysis and the second focusing on the routing component.

Suggested Citation

  • Thomas R. Sexton & Lawrence D. Bodin, 1985. "Optimizing Single Vehicle Many-to-Many Operations with Desired Delivery Times: I. Scheduling," Transportation Science, INFORMS, vol. 19(4), pages 378-410, November.
    • Handle: RePEc:inm:ortrsc:v:19:y:1985:i:4:p:378-410
    DOI: 10.1287/trsc.19.4.378
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