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Rollout Policies for Dynamic Solutions to the Multivehicle Routing Problem with Stochastic Demand and Duration Limits
Journal article   Open access   Peer reviewed

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

Justin C. Goodson, Jeffrey W. Ohlmann and Barrett W. Thomas
Operations research, Vol.61(1), pp.138-154
01/01/2013
DOI: 10.1287/opre.1120.1127
url
https://doi.org/10.1287/opre.1120.1127View
Published (Version of record) Open Access

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.
Social Sciences Technology Business & Economics Management Operations Research & Management Science Science & Technology

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