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Rollout Policies for Dynamic Solutions to the Multivehicle Routing Problem with Stochastic Demand and Duration Limits

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  • Justin C. Goodson

    (Department of Operations and Information Technology Management, John Cook School of Business, Saint Louis University, St. Louis, Missouri 63108)

  • Jeffrey W. Ohlmann

    (Department of Management Sciences, Tippie College of Business, University of Iowa, Iowa City, Iowa 52242)

  • Barrett W. Thomas

    (Department of Management Sciences, Tippie College of Business, University of Iowa, Iowa City, Iowa 52242)

Abstract

We develop a family of rollout policies based on fixed routes to obtain dynamic solutions to the vehicle routing problem with stochastic demand and duration limits (VRPSDL). In addition to a traditional one-step rollout policy, we leverage the notions of the pre- and post-decision state to distinguish two additional rollout variants. We tailor our rollout policies by developing a dynamic decomposition scheme that achieves high quality solutions to large problem instances with reasonable computational effort. Computational experiments demonstrate that our rollout policies improve upon the performance of a rolling horizon procedure and commonly employed fixed-route policies, with improvement over the latter being more substantial.

Suggested Citation

  • Justin C. Goodson & Jeffrey W. Ohlmann & Barrett W. Thomas, 2013. "Rollout Policies for Dynamic Solutions to the Multivehicle Routing Problem with Stochastic Demand and Duration Limits," Operations Research, INFORMS, vol. 61(1), pages 138-154, February.
    • Handle: RePEc:inm:oropre:v:61:y:2013:i:1:p:138-154
    DOI: 10.1287/opre.1120.1127
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    References listed on IDEAS

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