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A priori policy evaluation and cyclic-order-based simulated annealing for the multi-compartment vehicle routing problem with stochastic demands

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  • Goodson, Justin C.

Abstract

We develop methods to estimate and exactly calculate the expected cost of a priori policies for the multi-compartment vehicle routing problem with stochastic demands, an extension of the classical vehicle routing problem where customer demands are uncertain and products must be transported in separate partitions. We incorporate our estimation procedure into a cyclic-order-based simulated annealing algorithm, significantly improving the best-known solution values for a set of benchmark problems. We also extend the updating procedure for a cyclic order’s candidate route set to duration-constrained a priori policies.

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  • Goodson, Justin C., 2015. "A priori policy evaluation and cyclic-order-based simulated annealing for the multi-compartment vehicle routing problem with stochastic demands," European Journal of Operational Research, Elsevier, vol. 241(2), pages 361-369.
  • Handle: RePEc:eee:ejores:v:241:y:2015:i:2:p:361-369
    DOI: 10.1016/j.ejor.2014.09.031
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    2. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    3. Zhaoxia Guo & Stein W. Wallace & Michal Kaut, 2019. "Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 654-670, October.
    4. Ostermeier, Manuel & Hübner, Alexander, 2018. "Vehicle selection for a multi-compartment vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 269(2), pages 682-694.
    5. Vincent F. Yu & Putu A. Y. Indrakarna & Anak Agung Ngurah Perwira Redi & Shih-Wei Lin, 2021. "Simulated Annealing with Mutation Strategy for the Share-a-Ride Problem with Flexible Compartments," Mathematics, MDPI, vol. 9(18), pages 1-18, September.
    6. Liu, Zhenyuan & Han, Shuihua & Li, Chao & Gupta, Shivam & Sivarajah, Uthayasankar, 2022. "Leveraging customer engagement to improve the operational efficiency of social commerce start-ups," Journal of Business Research, Elsevier, vol. 140(C), pages 572-582.
    7. Heßler, Katrin, 2021. "Exact algorithms for the multi-compartment vehicle routing problem with flexible compartment sizes," European Journal of Operational Research, Elsevier, vol. 294(1), pages 188-205.
    8. Jorge Oyola & Halvard Arntzen & David L. Woodruff, 2018. "The stochastic vehicle routing problem, a literature review, part I: models," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 193-221, September.
    9. Tino Henke & Grazia Speranza & Gerhard Wäscher, 2017. "A Branch-and-Cut Algorithm for the Multi Compartment vehicle Routing Problem with Flexbile Compartment Sizes," FEMM Working Papers 170004, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    10. Luo, Zhixing & Qin, Hu & Zhang, Dezhi & Lim, Andrew, 2016. "Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 69-89.
    11. Jorge Oyola & Halvard Arntzen & David L. Woodruff, 2017. "The stochastic vehicle routing problem, a literature review, Part II: solution methods," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(4), pages 349-388, December.
    12. Katrin Heßler, 2020. "Exact Algorithms for the Multi-Compartment Vehicle Routing Problem with Flexible Compartment Sizes," Working Papers 2007, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

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