IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v20y2020i3d10.1007_s12351-018-0377-2.html
   My bibliography  Save this article

A decision tool for scheduling fleets of fuel supply vessels

Author

Listed:
  • Nikolaos P. Rachaniotis

    (Democritus University of Thrace)

  • Marisa Masvoula

    (General Secretariat of Information Systems)

Abstract

Fleets of fuel supply vessels are used to provide ships anchored in ports different oil products. Demand is satisfied based on a pull system, where oil shipments are triggered by orders placed by customers and delivered on a specific agreed day. The aim of this paper is to develop a time-effective decision tool in order to aid the fleet schedulers to decide in a very short time (usually less than 10 min in the ships’ fuel supply business) if they will accept new orders, based on the fleet’s capacity and availability, and generate a feasible near-optimal operation schedule. The tool was tested in a small Hellenic oil company and the empirical evaluation is presented.

Suggested Citation

  • Nikolaos P. Rachaniotis & Marisa Masvoula, 2020. "A decision tool for scheduling fleets of fuel supply vessels," Operational Research, Springer, vol. 20(3), pages 1543-1557, September.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0377-2
    DOI: 10.1007/s12351-018-0377-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-018-0377-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-018-0377-2?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. Pang, King-Wah & Xu, Zhou & Li, Chung-Lun, 2011. "Ship routing problem with berthing time clash avoidance constraints," International Journal of Production Economics, Elsevier, vol. 131(2), pages 752-762, June.
    2. Al-Khayyal, Faiz & Hwang, Seung-June, 2007. "Inventory constrained maritime routing and scheduling for multi-commodity liquid bulk, Part I: Applications and model," European Journal of Operational Research, Elsevier, vol. 176(1), pages 106-130, January.
    3. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    4. Kjetil Fagerholt & Haakon Lindstad, 2007. "TurboRouter: An Interactive Optimisation-Based Decision Support System for Ship Routing and Scheduling," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(3), pages 214-233, September.
    5. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    6. Christiansen, Marielle & Fagerholt, Kjetil & Rachaniotis, Nikolaos P. & Stålhane, Magnus, 2017. "Operational planning of routes and schedules for a fleet of fuel supply vessels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 163-175.
    7. Marielle Christiansen, 1999. "Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem," Transportation Science, INFORMS, vol. 33(1), pages 3-16, February.
    8. G Brønmo & M Christiansen & B Nygreen, 2007. "Ship routing and scheduling with flexible cargo sizes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1167-1177, September.
    9. K Fagerholt & M Christiansen, 2000. "A combined ship scheduling and allocation problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 834-842, July.
    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. Edwards, Dominiqueca R. & Idoko, Faith O. & Vogiatzis, Chrysafis & Davis, Lauren B. & Mirchandani, Pitu, 2023. "Determining optimal fuel delivery strategies under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

    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. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    2. Gustavo Diz & Luiz Felipe Scavarda & Roger Rocha & Silvio Hamacher, 2014. "Decision Support System for PETROBRAS Ship Scheduling," Interfaces, INFORMS, vol. 44(6), pages 555-566, December.
    3. Agra, Agostinho & Christiansen, Marielle & Delgado, Alexandrino & Simonetti, Luidi, 2014. "Hybrid heuristics for a short sea inventory routing problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 924-935.
    4. Li, Feng & Yang, Dong & Wang, Shuaian & Weng, Jinxian, 2019. "Ship routing and scheduling problem for steel plants cluster alongside the Yangtze River," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 198-210.
    5. Mutlu, Fatih & Msakni, Mohamed K. & Yildiz, Hakan & Sönmez, Erkut & Pokharel, Shaligram, 2016. "A comprehensive annual delivery program for upstream liquefied natural gas supply chain," European Journal of Operational Research, Elsevier, vol. 250(1), pages 120-130.
    6. Leandro C. Coelho & Jean-François Cordeau & Gilbert Laporte, 2014. "Thirty Years of Inventory Routing," Transportation Science, INFORMS, vol. 48(1), pages 1-19, February.
    7. Meng, Qiang & Wang, Shuaian & Lee, Chung-Yee, 2015. "A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 1-19.
    8. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    9. Ricardo Gatica & Pablo Miranda, 2011. "Special Issue on Latin-American Research: A Time Based Discretization Approach for Ship Routing and Scheduling with Variable Speed," Networks and Spatial Economics, Springer, vol. 11(3), pages 465-485, September.
    10. Mingyu Li & Peter Schütz, 2020. "Planning Annual LNG Deliveries with Transshipment," Energies, MDPI, vol. 13(6), pages 1-24, March.
    11. Mulder, J. & Dekker, R., 2016. "Optimization in container liner shipping," Econometric Institute Research Papers EI2016-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Agra, Agostinho & Christiansen, Marielle & Wolsey, Laurence, 2022. "Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 297(1), pages 164-179.
    13. Papageorgiou, Dimitri J. & Nemhauser, George L. & Sokol, Joel & Cheon, Myun-Seok & Keha, Ahmet B., 2014. "MIRPLib – A library of maritime inventory routing problem instances: Survey, core model, and benchmark results," European Journal of Operational Research, Elsevier, vol. 235(2), pages 350-366.
    14. Kevin Tierney & Björg Áskelsdóttir & Rune Møller Jensen & David Pisinger, 2015. "Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows," Transportation Science, INFORMS, vol. 49(3), pages 652-674, August.
    15. Christiansen, Marielle & Fagerholt, Kjetil & Rachaniotis, Nikolaos P. & Stålhane, Magnus, 2017. "Operational planning of routes and schedules for a fleet of fuel supply vessels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 163-175.
    16. Gustavo Souto dos Santos Diz & Silvio Hamacher & Fabricio Oliveira, 2019. "A robust optimization model for the maritime inventory routing problem," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 675-701, September.
    17. Rizvanolli, Anisa & Haupt, Alexander & Müller, Peter Marvin & Dornemann, Jorin, 2019. "Fleet based schedule optimisation for product tanker considering shipʼs stability," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 395-426, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    18. Christiansen, Marielle & Fagerholt, Kjetil & Flatberg, Truls & Haugen, Øyvind & Kloster, Oddvar & Lund, Erik H., 2011. "Maritime inventory routing with multiple products: A case study from the cement industry," European Journal of Operational Research, Elsevier, vol. 208(1), pages 86-94, January.
    19. Hennig, F. & Nygreen, B. & Furman, K.C. & Song, J., 2015. "Alternative approaches to the crude oil tanker routing and scheduling problem with split pickup and split delivery," European Journal of Operational Research, Elsevier, vol. 243(1), pages 41-51.
    20. Agostinho Agra & Marielle Christiansen & Kristine S. Ivarsøy & Ida Elise Solhaug & Asgeir Tomasgard, 2017. "Combined ship routing and inventory management in the salmon farming industry," Annals of Operations Research, Springer, vol. 253(2), pages 799-823, June.

    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:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0377-2. 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.