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Satisficing measure approach for vehicle routing problem with time windows under uncertaintyAuthor-Name: Nguyen, V.A

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  • Jiang, J.
  • Ng, K.M.
  • Teo, K.M.

Abstract

The complexity of evaluating chance constraints makes chance-constrained programming problem difficult to solve. One way to handle this complexity is by devising satisficing measures for the relevant uncertainties. This paper focuses on solving the stochastic vehicle routing problem with time windows (VRPTW) by Satisficing Measure Approach (SMA) that mitigates the dissatisfaction experienced by the customers. Satisficing measures are first proposed for the VRPTW with stochastic demand on various distributions to demonstrate the dependency of customers’ satisfaction towards lack of inventory based on the vehicle's capacity. Similar satisficing measures are extended to VRPTW with stochastic travel times. We integrate the proposed satisficing measures into an existing tabu-search heuristics to solve a set of generalized Solomon instances in a short amount of computation time. Compared with best-known results, the SMA saves the effort to design recourse actions, applicable to many popular probability distributions and produces very competitive results.

Suggested Citation

  • Jiang, J. & Ng, K.M. & Teo, K.M., 2016. "Satisficing measure approach for vehicle routing problem with time windows under uncertaintyAuthor-Name: Nguyen, V.A," European Journal of Operational Research, Elsevier, vol. 248(2), pages 404-414.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:2:p:404-414
    DOI: 10.1016/j.ejor.2015.07.041
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    Cited by:

    1. Kyriakidis, Epaminondas G. & Dimitrakos, Theodosis D. & Karamatsoukis, Constantinos C., 2019. "Optimal delivery of two similar products to N ordered customers with product preferences," International Journal of Production Economics, Elsevier, vol. 209(C), pages 194-204.
    2. Mojtaba Rajabi-Bahaabadi & Afshin Shariat-Mohaymany & Mohsen Babaei & Daniele Vigo, 2021. "Reliable vehicle routing problem in stochastic networks with correlated travel times," Operational Research, Springer, vol. 21(1), pages 299-330, March.
    3. Guodong Yu & Yu Yang, 2019. "Dynamic routing with real-time traffic information," Operational Research, Springer, vol. 19(4), pages 1033-1058, December.
    4. Cheung, Ka Chun & Yam, Sheung Chi Phillip & Zhang, Yiying, 2022. "Satisficing credibility for heterogeneous risks," European Journal of Operational Research, Elsevier, vol. 298(2), pages 752-768.
    5. Epaminondas G. Kyriakidis & Theodosis D. Dimitrakos & Constantinos C. Karamatsoukis, 2020. "A Stochastic Single Vehicle Routing Problem with a Predefined Sequence of Customers and Collection of Two Similar Materials," Methodology and Computing in Applied Probability, Springer, vol. 22(4), pages 1559-1582, December.

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