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The Value of Information in Container Transport

Author

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  • Rob A. Zuidwijk

    (Rotterdam School of Management, Erasmus University, 3000 DR Rotterdam, Netherlands; and Civil Engineering and Geosciences, Delft University of Technology, 2600 GA Delft, Netherlands)

  • Albert W. Veenstra

    (Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5600 MB Eindhoven, Netherlands)

Abstract

Planning the transport of maritime containers from the seaport to final inland destinations is challenged by uncertainties regarding the time the container is released for further transport and the transit time from the port to its final destination. This paper assesses the value of information in container transport in terms of efficiency and reliability. The analysis uses a stylized single period model where a decision maker allocates released containers to two transport modes (slow, low price, no flexible departure times versus fast, high price, flexible departure times) and plans the departure time of the inflexible mode. We construct Pareto frontiers and the corresponding Pareto optimal decisions under various information scenarios and show that the Pareto frontiers move in a favorable direction when the level of information increases. The mathematical results are explained and illustrated by means of a numerical example involving barge transport. We also perform a sensitivity analysis and study the impact of erroneous information on efficiency and reliability based on a numerical analysis.

Suggested Citation

  • Rob A. Zuidwijk & Albert W. Veenstra, 2015. "The Value of Information in Container Transport," Transportation Science, INFORMS, vol. 49(3), pages 675-685, August.
    • Handle: RePEc:inm:ortrsc:v:49:y:2015:i:3:p:675-685
    DOI: 10.1287/trsc.2014.0518
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    References listed on IDEAS

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    Cited by:

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    2. Pérez Rivera, Arturo E. & Mes, Martijn R.K., 2017. "Anticipatory freight selection in intermodal long-haul round-trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 176-194.
    3. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    4. 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.
    5. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    6. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Xie, Ying, 2022. "Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    7. Gaukler, Gary M. & Zuidwijk, Rob A. & Ketzenberg, Michael E., 2023. "The value of time and temperature history information for the distribution of perishables," European Journal of Operational Research, Elsevier, vol. 310(2), pages 627-639.
    8. 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.
    9. 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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