IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i23p4747-d1286661.html
   My bibliography  Save this article

Optimal Sailing Speeds and Time Windows in Inland Water Transportation Operations Management: Mathematical Models and Applications

Author

Listed:
  • Haoqing Wang

    (Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China)

  • Yuan Liu

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

  • Yong Jin

    (Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China)

  • Shuaian Wang

    (Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

Inland waterway transportation plays a pivotal role in advancing economic development and nurturing sustainable progress. It serves as a vital conduit linking communities, industries, and markets, thereby facilitating the seamless flow of essential commodities and fostering regional integration. However, in today’s era, marked by a resolute commitment to environmental responsibility and sustainability, inland shipping confronts formidable challenges, particularly pertaining to emission pollution and the escalating costs of fuel. These challenges represent significant impediments to the pursuit of environmentally conscious and sustainable growth by shipping companies. This research endeavor is geared towards the creation of a mathematical model that takes into account various factors, including the types of waterways, temporal constraints, and punctual arrival at the port of discharge. The primary objective is to empower shipping companies to make informed decisions about optimal sailing speeds and the most opportune time windows for entering one-way waterway segments. This, in turn, leads to reductions in fuel costs and waiting times for shipping companies, all while achieving cost minimization and mitigating emissions issues in inland waterway transportation. Ultimately, this research advances the cause of green and sustainable development in the inland waterway shipping sector. Specifically, this study focuses on routes that involve the dynamic transition between one-way and two-way segments. To accomplish this, an integer programming (IP) model is proposed to meticulously analyze the ideal sailing speed for each segment of the route and determine the optimal windows for accessing single-direction channels, thus representing a multistage decision-making process. Meanwhile, the model’s reliability is substantiated through a rigorous comparative assessment against three benchmark strategies (EAS, LAS, and MAS). In our experiments, the optimization model yielded a total cost for the entire inland waterway amounting to $80,626.20. This figure stands below the total costs of $87,118.14 under the EAS strategy and $83,494.70 under the MAS strategy (the LAS strategy failed to meet the port of discharge deadline), thereby conclusively validating its ability to guide vessels to their port of discharge within prescribed schedules, all while reducing overall operational costs and promoting sustainable and environmentally responsible practices.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4747-:d:1286661
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/23/4747/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/23/4747/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tan, Zhijia & Zeng, Xianyang & Shao, Shuai & Chen, Jihong & Wang, Hua, 2022. "Scrubber installation and green fuel for inland river ships with non-identical streamflow," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    2. 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.
    3. Zheng Wan & Jihong Chen, 2018. "Human errors are behind most oil-tanker spills," Nature, Nature, vol. 560(7717), pages 161-163, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Wróbel, Krzysztof, 2021. "Searching for the origins of the myth: 80% human error impact on maritime safety," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Zhang, Yang & Sun, Xukai & Chen, Jihong & Cheng, Cheng, 2021. "Spatial patterns and characteristics of global maritime accidents," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    4. Qiuwen Wang & Yan Zhang & Hu Zhang, 2023. "The Development of Floating Nuclear Power Platforms: Special Marine Environmental Risks, Existing Regulatory Dilemmas, and Potential Solutions," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. 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).
    6. Shin, Seung Ki & Cho, Jaehyun & Park, Jinkyun, 2021. "Do we have a domain-specific group culture?," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    7. Qiuwen Wang & Hu Zhang & Puxin Zhu, 2023. "Using Nuclear Energy for Maritime Decarbonization and Related Environmental Challenges: Existing Regulatory Shortcomings and Improvements," IJERPH, MDPI, vol. 20(4), pages 1-23, February.
    8. Lee, Sang-Jeong & Sun, Qinghe & Meng, Qiang, 2023. "Vessel weather routing subject to sulfur emission regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    9. Zhang, Ming & Zeng, Xianyang & Tan, Zhijia, 2024. "Joint decision of green technology adoption and sailing pattern for a coastal ship under ECAs," Transport Policy, Elsevier, vol. 146(C), pages 102-113.
    10. Zeng, Xianyang & Tan, Zhijia & Zhang, Ming & Wang, Tingsong, 2024. "Scrubber installation of inland container ships: Discrepancy between government and carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    11. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4747-:d:1286661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.