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Investigating Strategic Alternatives for Improving Service in an Inland Waterway Transportation System

Author

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  • L. Douglas Smith

    (University of Missouri-St. Louis, USA)

  • Robert M. Nauss

    (University of Missouri-St. Louis, USA)

Abstract

A series of five locks form a transportation bottleneck in the upper Mississippi River navigation system. With optimizing models, statistical modeling and computer simulation, the authors explore the effects of alternative scheduling regimes and infrastructure changes to improve performance of an inland waterway transportation system. In this paper, the authors show the value of triangulating and integrating analysis with different research paradigms in order to explore the effects of alternative strategies for improving performance of a major transportation system.

Suggested Citation

  • L. Douglas Smith & Robert M. Nauss, 2010. "Investigating Strategic Alternatives for Improving Service in an Inland Waterway Transportation System," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 1(2), pages 62-81, April.
    • Handle: RePEc:igg:jsds00:v:1:y:2010:i:2:p:62-81
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    Citations

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    Cited by:

    1. F.J. Sluiman, 2017. "Transit vessel scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(3), pages 225-248, April.
    2. Zhao, Ke & Jin, Jian Gang & Zhang, Di & Ji, Sheng & Lee, Der-Horng, 2023. "A variable neighborhood search heuristic for real-time barge scheduling in a river-to-sea channel with tidal restrictions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    3. Ji, Bin & Zhang, Dezhi & Yu, Samson S. & Zhang, Binqiao, 2021. "Optimally solving the generalized serial-lock scheduling problem from a graph-theory-based multi-commodity network perspective," European Journal of Operational Research, Elsevier, vol. 288(1), pages 47-62.
    4. Ji, Bin & Zhang, Dezhi & Zhang, Zheng & Yu, Samson S. & Van Woensel, Tom, 2022. "The generalized serial-lock scheduling problem on inland waterway: A novel decomposition-based solution framework and efficient heuristic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).

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