IDEAS home Printed from https://ideas.repec.org/a/spr/josatr/v8y2023i1d10.1186_s41072-023-00141-0.html
   My bibliography  Save this article

Just in time vessel arrival system for dry bulk carriers

Author

Listed:
  • Alexander Senss

    (University of Strathclyde)

  • Onder Canbulat

    (University of Strathclyde
    The UK Chamber of Shipping
    Bursa Technical University)

  • Dogancan Uzun

    (University of Strathclyde)

  • Sefer Anil Gunbeyaz

    (University of Strathclyde)

  • Osman Turan

    (University of Strathclyde)

Abstract

Cargo conveyance onboard dry bulk carriers is contemporarily often affiliated to preoperational waiting times, which may affect the income situation of stakeholders and the sustainability of the sector. Therefore, repetitively occurring waiting problems, potentially paired with port congestion phenomena, indicating that just in time (JIT) arrival potential for a distinct or a combination of reasons has not been realised, can be frequently identified. Undesired increment of waiting times and development of port congestion is frequently responded to by an array of measures. JIT arrival concepts, vessel arrival systems (VAS) and virtual arrival (VA) agreements thereby do not strive to eliminate waiting times but facilitate their sensible transformation into additional navigation time. In practice, VAS applications may, however, only enfold their inherent sustainability potential within closely defined delimitations. At the same time, JIT mechanisms and VA agreements may lack acceptance due to impracticability or missing alignment to underlying trade requirements. Therefore, fair but environmentally inefficient arrival mechanisms like the first come first serve (FCFS) concept remain widely applied. As a remedy, a VAS has been conceptualised by diverting from a static to a dynamic time-, distance- and speed JIT concept wherein these parameters are defined by predicted berth and cargo operation availability. A circular based Reporting Line furnished with the functions attributable to the place where line up positions are customarily allocated is fluctuating in correspondence to the time to go until the nearest berthing opportunity becomes available. The concept does not only provide for a dynamically shifting line and corridor to obtain an often highly valued line up position, but for the distance and conditions where under a vessel is going to arrive JIT. The FCFS concept interwoven with unbiased allocating of line-up positions is being retained as an integral part while VA applications are supported.

Suggested Citation

  • Alexander Senss & Onder Canbulat & Dogancan Uzun & Sefer Anil Gunbeyaz & Osman Turan, 2023. "Just in time vessel arrival system for dry bulk carriers," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-37, December.
    • Handle: RePEc:spr:josatr:v:8:y:2023:i:1:d:10.1186_s41072-023-00141-0
    DOI: 10.1186/s41072-023-00141-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s41072-023-00141-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1186/s41072-023-00141-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    2. Rehmatulla, Nishatabbas & Smith, Tristan, 2015. "Barriers to energy efficiency in shipping: A triangulated approach to investigate the principal agent problem," Energy Policy, Elsevier, vol. 84(C), pages 44-57.
    3. Singh, Gaurav & Sier, David & Ernst, Andreas T. & Gavriliouk, Olena & Oyston, Rob & Giles, Tracey & Welgama, Palitha, 2012. "A mixed integer programming model for long term capacity expansion planning: A case study from The Hunter Valley Coal Chain," European Journal of Operational Research, Elsevier, vol. 220(1), pages 210-224.
    4. Ross Robinson, 2007. "Regulating efficiency into port-oriented chain systems: export coal through the Dalrymple Bay Terminal, Australia," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(2), pages 89-106, April.
    5. J Fernando Alvarez & Tore Longva & Erna S Engebrethsen, 2010. "A methodology to assess vessel berthing and speed optimization policies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(4), pages 327-346, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Se-Won Kim & Jeong-On Eom, 2023. "Ship Carbon Intensity Indicator Assessment via Just-in-Time Arrival Algorithm Based on Real-Time Data: Case Study of Pusan New International Port," Sustainability, MDPI, vol. 15(18), pages 1-28, September.
    2. Son Nguyen & Aengus Leman & Zhe Xiao & Xiuju Fu & Xiaocai Zhang & Xiaoyang Wei & Wanbing Zhang & Ning Li & Wei Zhang & Zheng Qin, 2023. "Blockchain-Powered Incentive System for JIT Arrival Operations and Decarbonization in Maritime Shipping," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    3. Önder Çağlayan & Murat Aymelek, 2024. "An Integrated Multi-Criteria Decision Support Model for Sustainable Ship Queuing Policy Application via Vessel Traffic Service (VTS)," Sustainability, MDPI, vol. 16(11), pages 1-33, May.

    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. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    2. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    3. Jia, Shuai & Li, Chung-Lun & Xu, Zhou, 2020. "A simulation optimization method for deep-sea vessel berth planning and feeder arrival scheduling at a container port," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 174-196.
    4. Buddhi A. Weerasinghe & H. Niles Perera & Xiwen Bai, 2024. "Optimizing container terminal operations: a systematic review of operations research applications," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 307-341, June.
    5. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    6. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    7. Eduardo Lalla-Ruiz & Stefan Voß & Christopher Expósito-Izquierdo & Belén Melián-Batista & J. Marcos Moreno-Vega, 2017. "A POPMUSIC-based approach for the berth allocation problem under time-dependent limitations," Annals of Operations Research, Springer, vol. 253(2), pages 871-897, June.
    8. Liu, Baoli & Li, Zhi-Chun & Wang, Yadong, 2022. "A two-stage stochastic programming model for seaport berth and channel planning with uncertainties in ship arrival and handling times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    9. Patrizia Serra & Gianfranco Fancello, 2020. "Towards the IMO’s GHG Goals: A Critical Overview of the Perspectives and Challenges of the Main Options for Decarbonizing International Shipping," Sustainability, MDPI, vol. 12(8), pages 1-32, April.
    10. El Mehdi, Er Raqabi & Ilyas, Himmich & Nizar, El Hachemi & Issmaïl, El Hallaoui & François, Soumis, 2023. "Incremental LNS framework for integrated production, inventory, and vessel scheduling: Application to a global supply chain," Omega, Elsevier, vol. 116(C).
    11. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship route schedule design with sea contingency time and port time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 615-633.
    12. Liu, Baoli & Li, Zhi-Chun & Sheng, Dian & Wang, Yadong, 2021. "Integrated planning of berth allocation and vessel sequencing in a seaport with one-way navigation channel," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 23-47.
    13. Lalita, T.R. & Manna, D.K. & Murthy, G.S.R., 2020. "Mathematical formulations for large scale check-in counter allocation problem," Journal of Air Transport Management, Elsevier, vol. 85(C).
    14. Jin, Jian Gang & Lee, Der-Horng & Hu, Hao, 2015. "Tactical berth and yard template design at container transshipment terminals: A column generation based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 168-184.
    15. Peter Andersson & Pernilla Ivehammar, 2017. "Dynamic route planning in the Baltic Sea Region – A cost-benefit analysis based on AIS data," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 631-649, December.
    16. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    17. Iris, Çağatay & Pacino, Dario & Ropke, Stefan & Larsen, Allan, 2015. "Integrated Berth Allocation and Quay Crane Assignment Problem: Set partitioning models and computational results," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 75-97.
    18. Zhen, Lu & Lee, Loo Hay & Chew, Ek Peng, 2011. "A decision model for berth allocation under uncertainty," European Journal of Operational Research, Elsevier, vol. 212(1), pages 54-68, July.
    19. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    20. Jiayin Pan & Yinfeng Xu & Guiqing Zhang, 2018. "Online integrated allocation of berths and quay cranes in container terminals with 1-lookahead," Journal of Combinatorial Optimization, Springer, vol. 36(2), pages 617-636, August.

    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:spr:josatr:v:8:y:2023:i:1:d:10.1186_s41072-023-00141-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.