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A probabilistic approach to pickup and delivery problems with time window uncertainty

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  • Györgyi, Péter
  • Kis, Tamás

Abstract

In this paper, we study a dynamic and stochastic pickup and delivery problem proposed recently by Srour, Agatz and Oppen. We demonstrate that the cost structure of the problem permits an effective solution method without generating multiple scenarios. Instead, our method is based on a careful analysis of the transfer probability from one customer to the other. Our computational results confirm the effectiveness of our approach on the dataset of Srour et al., as well as on new, large problem instances.

Suggested Citation

  • Györgyi, Péter & Kis, Tamás, 2019. "A probabilistic approach to pickup and delivery problems with time window uncertainty," European Journal of Operational Research, Elsevier, vol. 274(3), pages 909-923.
    • Handle: RePEc:eee:ejores:v:274:y:2019:i:3:p:909-923
    DOI: 10.1016/j.ejor.2018.10.031
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    References listed on IDEAS

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    8. Gregorio Tirado & Lars Magnus Hvattum, 2017. "Improved solutions to dynamic and stochastic maritime pick-up and delivery problems using local search," Annals of Operations Research, Springer, vol. 253(2), pages 825-843, June.
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    Cited by:

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