IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v93y2016icp372-388.html
   My bibliography  Save this article

A MILP model for planning the trips of dynamic positioned tankers with variable travel time

Author

Listed:
  • de Assis, Leonardo Salsano
  • Camponogara, Eduardo

Abstract

The transportation of the crude oil produced in offshore oilfields to onshore terminals is performed by vessels, known as shuttle tankers. Scheduling shuttle-tanker operations entails solving complex problems to ensure a timely offloading of the platforms, taking into account several logistics and inventory constraints. This work proposes a new MILP formulation that advances previous works by considering variable travel time between platforms and terminals. The combination of the MILP formulation with an optimization solver constitutes a decision-support tool to aid engineers reach optimal decisions for a planning horizon. To handle large-scale instances, rolling-horizon and relax-and-fix strategies are proposed.

Suggested Citation

  • de Assis, Leonardo Salsano & Camponogara, Eduardo, 2016. "A MILP model for planning the trips of dynamic positioned tankers with variable travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 372-388.
  • Handle: RePEc:eee:transe:v:93:y:2016:i:c:p:372-388
    DOI: 10.1016/j.tre.2016.06.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554515303239
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2016.06.009?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. Aizemberg, Luiz & Kramer, Hugo Harry & Pessoa, Artur Alves & Uchoa, Eduardo, 2014. "Formulations for a problem of petroleum transportation," European Journal of Operational Research, Elsevier, vol. 237(1), pages 82-90.
    2. Monique Guignard, 2003. "Lagrangean relaxation," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 11(2), pages 151-200, December.
    3. Kevin C. Furman & Jin-Hwa Song & Gary R. Kocis & Michael K. McDonald & Philip H. Warrick, 2011. "Feedstock Routing in the ExxonMobil Downstream Sector," Interfaces, INFORMS, vol. 41(2), pages 149-163, April.
    4. 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.
    5. H Gunnarsson & M Rönnqvist & D Carlsson, 2006. "A combined terminal location and ship routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(8), pages 928-938, August.
    6. AGRA, Agostinho & ANDERSSON, Henrik & CHRISTIANSEN, Marielle & WOLSEY, Laurence A., 2013. "A maritime inventory routing problem: discrete time formulations and valid inequalities," LIDAM Reprints CORE 2584, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Kazemi, Yasaman & Szmerekovsky, Joseph, 2015. "Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 111-125.
    8. 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.
    9. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    10. Persson, Jan A. & Gothe-Lundgren, Maud, 2005. "Shipment planning at oil refineries using column generation and valid inequalities," European Journal of Operational Research, Elsevier, vol. 163(3), pages 631-652, June.
    11. 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.
    12. Samà, Marcella & D’Ariano, Andrea & Pacciarelli, Dario, 2013. "Rolling horizon approach for aircraft scheduling in the terminal control area of busy airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 140-155.
    13. Ronen, David, 1993. "Ship scheduling: The last decade," European Journal of Operational Research, Elsevier, vol. 71(3), pages 325-333, December.
    14. Dillenberger, Christof & Escudero, Laureano F. & Wollensak, Artur & Zhang, Wu, 1994. "On practical resource allocation for production planning and scheduling with period overlapping setups," European Journal of Operational Research, Elsevier, vol. 75(2), pages 275-286, June.
    15. Ronen, David, 1983. "Cargo ships routing and scheduling: Survey of models and problems," European Journal of Operational Research, Elsevier, vol. 12(2), pages 119-126, February.
    16. Stéphane Dauzère-Pérès & Atle Nordli & Asmund Olstad & Kjetil Haugen & Ulrich Koester & Myrstad Per Olav & Geir Teistklub & Alf Reistad, 2007. "Omya Hustadmarmor Optimizes Its Supply Chain for Delivering Calcium Carbonate Slurry to European Paper Manufacturers," Interfaces, INFORMS, vol. 37(1), pages 39-51, February.
    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. 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.
    2. Malinowski, Ethan & Karwan, Mark H. & Pinto, José M. & Sun, Lei, 2018. "A mixed-integer programming strategy for liquid helium global supply chain planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 168-188.
    3. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    4. 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.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Hemmati, Ahmad & Hvattum, Lars Magnus & Christiansen, Marielle & Laporte, Gilbert, 2016. "An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem," European Journal of Operational Research, Elsevier, vol. 252(3), pages 775-788.
    7. Leandro C. Coelho & Jean-François Cordeau & Gilbert Laporte, 2014. "Thirty Years of Inventory Routing," Transportation Science, INFORMS, vol. 48(1), pages 1-19, February.
    8. 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.
    9. 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.
    10. Lin, Dung-Ying & Tsai, Yu-Yun, 2014. "The ship routing and freight assignment problem for daily frequency operation of maritime liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 52-70.
    11. Lin, Dung-Ying & Chang, Yu-Ting, 2018. "Ship routing and freight assignment problem for liner shipping: Application to the Northern Sea Route planning problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 47-70.
    12. Kristin Uggen & Marte Fodstad & Vibeke Nørstebø, 2013. "Using and extending fix-and-relax to solve maritime inventory routing problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 355-377, July.
    13. 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.
    14. Elin Halvorsen-Weare & Kjetil Fagerholt, 2013. "Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints," Annals of Operations Research, Springer, vol. 203(1), pages 167-186, March.
    15. 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.
    16. Ryuichi Shibasaki & Takayuki Iijima & Taiji Kawakami & Takashi Kadono & Tatsuyuki Shishido, 2017. "Network assignment model of integrating maritime and hinterland container shipping: application to Central America," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 234-273, June.
    17. Wang, Hua & Wang, Shuaian & Meng, Qiang, 2014. "Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 261-273.
    18. Sun, Qinghe & Meng, Qiang & Chou, Mabel C., 2021. "Optimizing voyage charterparty (VCP) arrangement: Laytime negotiation and operations coordination," European Journal of Operational Research, Elsevier, vol. 291(1), pages 263-270.
    19. 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.
    20. Bilgen, Bilge & Ozkarahan, Irem, 2007. "A mixed-integer linear programming model for bulk grain blending and shipping," International Journal of Production Economics, Elsevier, vol. 107(2), pages 555-571, 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:eee:transe:v:93:y:2016:i:c:p:372-388. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.