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Stochastic Vehicle Routing Problem with Restocking

Author

Listed:
  • Wen-Huei Yang

    (Department of Management, Chinese Naval Academy, P.O. Box 90175, Tsoying 813, Kaohsiung, Taiwan, Republic of China)

  • Kamlesh Mathur

    (Department of Operations Research and Operations Management, Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106)

  • Ronald H. Ballou

    (Department of Operations Research and Operations Management, Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106)

Abstract

In this paper, a stochastic vehicle routing problem is considered. In particular, customer demand is assumed to be uncertain, and actual demand is revealed only upon the visit to the customer. Instead of adopting the simple recourse action of returning to the depot whenever the vehicle runs out of stock, the points along the route at which restocking is to occur are designed into the route. The restocking points may be before a stockout actually occurs. Two heuristic algorithms are developed to construct both single and multiple routes that minimize total travel cost. The computational results show that the heuristic procedures produce quality solutions and are efficient.

Suggested Citation

  • Wen-Huei Yang & Kamlesh Mathur & Ronald H. Ballou, 2000. "Stochastic Vehicle Routing Problem with Restocking," Transportation Science, INFORMS, vol. 34(1), pages 99-112, February.
    • Handle: RePEc:inm:ortrsc:v:34:y:2000:i:1:p:99-112
    DOI: 10.1287/trsc.34.1.99.12278
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    References listed on IDEAS

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