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Dynamic Orienteering on a Network of Queues

Author

Listed:
  • Shu Zhang

    (School of Economics and Business Administration, Chongqing University, 400044 Chongqing, China)

  • 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 introduce a stochastic orienteering problem on a network of queues in which the traveler must arrive and enter service at locations within the respective time windows to collect rewards, but the traveler may experience stochastic wait time at each location before service can begin. To maximize the expected rewards collected, the traveler must determine which locations to visit and how long to wait in queues at each location. We formally model the problem as a Markov decision process with the objective of maximizing the expected collected rewards. We investigate the existence of optimal control limits and examine conditions under which certain actions cannot be optimal. To solve the problem, we propose an approximate dynamic programming approach based on rollout algorithms. The method introduces a two-stage heuristic estimation that we refer to as compound rollout. In the first stage, the algorithm decides whether to stay at the current location or go to another location. If departing the current location, it chooses the next location in the second stage. We demonstrate the value of our modeling and solution approaches by comparing the dynamic policies to a-priori-route solutions with recourse actions.

Suggested Citation

  • Shu Zhang & Jeffrey W. Ohlmann & Barrett W. Thomas, 2018. "Dynamic Orienteering on a Network of Queues," Transportation Science, INFORMS, vol. 52(3), pages 691-706, June.
    • Handle: RePEc:inm:ortrsc:v:52:y:2018:i:3:p:691-706
    DOI: 10.1287/trsc.2017.0761
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Shu & Ohlmann, Jeffrey W. & Thomas, Barrett W., 2020. "Multi-period orienteering with uncertain adoption likelihood and waiting at customers," European Journal of Operational Research, Elsevier, vol. 282(1), pages 288-303.
    3. Soeffker, Ninja & Ulmer, Marlin W. & Mattfeld, Dirk C., 2022. "Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review," European Journal of Operational Research, Elsevier, vol. 298(3), pages 801-820.
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