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Real-time Container Transport Planning with Decision Trees based on Offline Obtained Optimal Solutions

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  • van Riessen, B.
  • Negenborn, R.R.
  • Dekker, R.

Abstract

Hinterland networks for container transportation require planning methods in order to increase efficiency and reliability of the inland road, rail and waterway connections. In this paper we aim to derive real-time decision rules for suitable allocations of containers to inland services by analysing the solution structure of a centralised optimisation method used offline on historic data. The decision tree can be used in a decision support system (DSS) for instantaneously allocating incoming orders to suitable services, without the need for continuous planning updates. Such a DSS is beneficial, as it is easy to implement in the current practice of container transportation. Earlier proposed centralised methods can find the optimal solution for the intermodal inland transportation problem in retrospect, but are not suitable when information becomes gradually available. The main contributions are threefold: firstly, a structured method for creating decision trees from optimal solutions is proposed. Secondly, an innovative method is used for obtaining multiple equivalent optimal solutions to prevent overfitting of the decision tree. And finally, a structured analysis of three error types is presented for assessing the quality of an obtained tree. A case study illustrates the method’s purpose by comparing the quality of the resulting plan with alternative methods.

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  • van Riessen, B. & Negenborn, R.R. & Dekker, R., 2016. "Real-time Container Transport Planning with Decision Trees based on Offline Obtained Optimal Solutions," Econometric Institute Research Papers EI2016-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:79973
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    1. Raymond K. Cheung & Chuen-Yih Chen, 1998. "A Two-Stage Stochastic Network Model and Solution Methods for the Dynamic Empty Container Allocation Problem," Transportation Science, INFORMS, vol. 32(2), pages 142-162, May.
    2. Jansen, Benjamin & Swinkels, Pieter C. J. & Teeuwen, Geert J. A. & van Antwerpen de Fluiter, Babette & Fleuren, Hein A., 2004. "Operational planning of a large-scale multi-modal transportation system," European Journal of Operational Research, Elsevier, vol. 156(1), pages 41-53, July.
    3. Arentze, Theo A. & Timmermans, Harry J. P., 2004. "A learning-based transportation oriented simulation system," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 613-633, August.
    4. Stein W. Wallace, 2000. "Decision Making Under Uncertainty: Is Sensitivity Analysis of Any Use?," Operations Research, INFORMS, vol. 48(1), pages 20-25, February.
    5. Ziliaskopoulos, Athanasios & Wardell, Whitney, 2000. "An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays," European Journal of Operational Research, Elsevier, vol. 125(3), pages 486-502, September.
    6. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    7. Albert Veenstra & Rob Zuidwijk & Eelco van Asperen, 2012. "The extended gate concept for container terminals: Expanding the notion of dry ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(1), pages 14-32, March.
    8. Martijn R Van Der Horst & Peter W De Langen, 2008. "Coordination in Hinterland Transport Chains: A Major Challenge for the Seaport Community," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(1-2), pages 108-129, March.
    9. Ishfaq, Rafay & Sox, Charles R., 2012. "Design of intermodal logistics networks with hub delays," European Journal of Operational Research, Elsevier, vol. 220(3), pages 629-641.
    10. Pak, K. & Dekker, R., 2004. "Cargo Revenue Management: Bid-Prices for a 0-1 Multi Knapsack Problem," ERIM Report Series Research in Management ERS-2004-055-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Pascal Hentenryck & Russell Bent & Eli Upfal, 2010. "Online stochastic optimization under time constraints," Annals of Operations Research, Springer, vol. 177(1), pages 151-183, June.
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    Cited by:

    1. Wenqing He & Zhihong Jin & Ying Huang & Shida Xu, 2021. "The Inland Container Transportation Problem with Separation Mode Considering Carbon Dioxide Emissions," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    2. Thibault Delbart & Yves Molenbruch & Kris Braekers & An Caris, 2021. "Uncertainty in Intermodal and Synchromodal Transport: Review and Future Research Directions," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    3. Bart Riessen & Rudy R. Negenborn & Rommert Dekker, 2017. "The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 634-658, December.
    4. Guo, Wenjing & Atasoy, Bilge & van Blokland, Wouter Beelaerts & Negenborn, Rudy R., 2021. "Global synchromodal transport with dynamic and stochastic shipment matching," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.
    7. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    8. Bernard G. Zweers & Sandjai Bhulai & Rob D. van der Mei, 2019. "Optimizing barge utilization in hinterland container transportation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 253-271, April.
    9. Guo, Wenjing & Zhang, Yimeng & Li, Wenfeng & Negenborn, Rudy R. & Atasoy, Bilge, 2024. "Augmented Lagrangian relaxation-based coordinated approach for global synchromodal transport planning with multiple operators," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    10. Andreas Balster & Ole Hansen & Hanno Friedrich & André Ludwig, 2020. "An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(5), pages 403-416, October.
    11. Bouchery, Yann & Woxenius, Johan & Fransoo, Jan C., 2020. "Identifying the market areas of port-centric logistics and hinterland intermodal transportation," European Journal of Operational Research, Elsevier, vol. 285(2), pages 599-611.
    12. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    13. Wenjing Guo & Bilge Atasoy & Wouter Beelaerts Blokland & Rudy R. Negenborn, 2022. "Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 483-517, June.
    14. Mar-Ortiz, Julio & Castillo-García, Norberto & Gracia, María D., 2020. "A decision support system for a capacity management problem at a container terminal," International Journal of Production Economics, Elsevier, vol. 222(C).
    15. Dornemann, Jorin & Rückert, Nicolas & Fischer, Kathrin & Taraz, Anusch, 2020. "Artificial intelligence and operations research in maritime logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 337-381, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    16. Gumuskaya, Volkan & van Jaarsveld, Willem & Dijkman, Remco & Grefen, Paul & Veenstra, Albert, 2020. "Dynamic barge planning with stochastic container arrivals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    17. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.
    18. Bernard G. Zweers & Sandjai Bhulai & Rob D. Mei, 2021. "Planning hinterland container transportation in congested deep-sea terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 583-622, September.
    19. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.
    20. Akyüz, M. Hakan & Dekker, Rommert & Sharif Azadeh, Shadi, 2023. "Partial and complete replanning of an intermodal logistic system under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    21. Fan Bu & Heather Nachtmann, 2023. "Literature review and comparative analysis of inland waterways transport: “Container on Barge”," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 140-173, March.

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    Keywords

    Intermodal planning; synchromodal planning; container transportation; decision support; decision trees;
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