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Vessel velocity decisions in inland waterway transportation under uncertainty

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  • Buchem, Moritz
  • Golak, Julian Arthur Pawel
  • Grigoriev, Alexander

Abstract

Recent studies have concentrated on environmental and economic impacts of ships. In this regard, fuel and CO2 emission is considered as one of the important factors for such impacts. In particular, the sailing speed of the vessels affects the fuel consumption and therefore the emission directly. In this study, we consider a speed optimization problem in inland waterway, which is characterized by stochastic waiting times at the lock caused by uncertainty in lock processing time estimations of other vessels. The objective is to minimize fuel consumption of an approaching ship, such that it traverses the river segment in a set deadline. We introduce a mathematical model for this problem and evaluate the effectiveness and attractiveness of two solution approaches: an optimal solution and a simple heuristic. This creates intuitive guidelines for skippers based on information provision to select an appropriate speed decision approach to minimize the total expected fuel consumption and CO2 emission of inland waterway transportation.

Suggested Citation

  • Buchem, Moritz & Golak, Julian Arthur Pawel & Grigoriev, Alexander, 2022. "Vessel velocity decisions in inland waterway transportation under uncertainty," European Journal of Operational Research, Elsevier, vol. 296(2), pages 669-678.
    • Handle: RePEc:eee:ejores:v:296:y:2022:i:2:p:669-678
    DOI: 10.1016/j.ejor.2021.04.026
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    References listed on IDEAS

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    1. Passchyn, Ward & Briskorn, Dirk & Spieksma, Frits C.R., 2016. "Mathematical programming models for lock scheduling with an emission objective," European Journal of Operational Research, Elsevier, vol. 248(3), pages 802-814.
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    Cited by:

    1. Haoqing Wang & Yuan Liu & Yong Jin & Shuaian Wang, 2023. "Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications," Mathematics, MDPI, vol. 11(23), pages 1-20, November.
    2. Zhen, Lu & Zhang, Shuanglu & Zhuge, Dan & Wang, Shuaian & Wang, Yong, 2024. "An emission control policymaking model for sustainable river transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    3. Golak, Julian Arthur Pawel & Defryn, Christof & Grigoriev, Alexander, 2022. "Optimizing fuel consumption on inland waterway networks: Local search heuristic for lock scheduling," Omega, Elsevier, vol. 109(C).
    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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