IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v48y2014i2p281-312.html
   My bibliography  Save this article

A Base Integer Programming Model and Benchmark Suite for Liner-Shipping Network Design

Author

Listed:
  • Berit D. Brouer

    (DTU Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • J. Fernando Alvarez

    (Business Optimization, Uptimize!, Gøteborggata 9, Oslo 0566, Norway)

  • Christian E. M. Plum

    (DTU Management Engineering, Technical University of Denmark; and Maersk Line, Esplanaden 50, København K., Denmark)

  • David Pisinger

    (DTU Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Mikkel M. Sigurd

    (Maersk Line, Esplanaden 50, 1098 København K., Denmark)

Abstract

The liner-shipping network design problem is to create a set of nonsimple cyclic sailing routes for a designated fleet of container vessels that jointly transports multiple commodities. The objective is to maximize the revenue of cargo transport while minimizing the costs of operation. The potential for making cost-effective and energy-efficient liner-shipping networks using operations research (OR) is huge and neglected. The implementation of logistic planning tools based upon OR has enhanced performance of airlines, railways, and general transportation companies, but within the field of liner shipping, applications of OR are scarce. We believe that access to domain knowledge and data is a barrier for researchers to approach the important liner-shipping network design problem. The purpose of the benchmark suite and the paper at hand is to provide easy access to the domain and the data sources of liner shipping for OR researchers in general. We describe and analyze the liner-shipping domain applied to network design and present a rich integer programming model based on services that constitute the fixed schedule of a liner shipping company. We prove the liner-shipping network design problem to be strongly NP-hard. A benchmark suite of data instances to reflect the business structure of a global liner shipping network is presented. The design of the benchmark suite is discussed in relation to industry standards, business rules, and mathematical programming. The data are based on real-life data from the largest global liner-shipping company, Maersk Line, and supplemented by data from several industry and public stakeholders. Computational results yielding the first best known solutions for six of the seven benchmark instances is provided using a heuristic combining tabu search and heuristic column generation.

Suggested Citation

  • Berit D. Brouer & J. Fernando Alvarez & Christian E. M. Plum & David Pisinger & Mikkel M. Sigurd, 2014. "A Base Integer Programming Model and Benchmark Suite for Liner-Shipping Network Design," Transportation Science, INFORMS, vol. 48(2), pages 281-312, May.
  • Handle: RePEc:inm:ortrsc:v:48:y:2014:i:2:p:281-312
    DOI: 10.1287/trsc.2013.0471
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.2013.0471
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.2013.0471?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Gelareh, Shahin & Nickel, Stefan & Pisinger, David, 2010. "Liner shipping hub network design in a competitive environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 991-1004, November.
    3. Sambracos, E. & Paravantis, J. A. & Tarantilis, C. D. & Kiranoudis, C. T., 2004. "Dispatching of small containers via coastal freight liners: The case of the Aegean Sea," European Journal of Operational Research, Elsevier, vol. 152(2), pages 365-381, January.
    4. Kjetil Fagerholt *, 2004. "Designing optimal routes in a liner shipping problem," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(4), pages 259-268, October.
    5. Dong, Jing-Xin & Song, Dong-Ping, 2009. "Container fleet sizing and empty repositioning in liner shipping systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 860-877, November.
    6. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    7. Krishan Rana & R. G. Vickson, 1991. "Routing Container Ships Using Lagrangean Relaxation and Decomposition," Transportation Science, INFORMS, vol. 25(3), pages 201-214, August.
    8. B. J. Powell & A .N. Perkins, 1997. "Fleet deployment optimization for liner shipping: an integer programming model," Maritime Policy & Management, Taylor & Francis Journals, vol. 24(2), pages 183-192, January.
    9. Karlaftis, Matthew G. & Kepaptsoglou, Konstantinos & Sambracos, Evangelos, 2009. "Containership routing with time deadlines and simultaneous deliveries and pick-ups," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 210-221, January.
    10. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    11. Shintani, Koichi & Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2007. "The container shipping network design problem with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(1), pages 39-59, January.
    12. Meng, Qiang & Wang, Shuaian, 2011. "Liner shipping service network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 695-708, September.
    13. Kjetil Fagerholt & Trond A. V. Johnsen & Haakon Lindstad, 2009. "Fleet deployment in liner shipping: a case study," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(5), pages 397-409, October.
    14. Meng, Qiang & Wang, Shuaian, 2012. "Liner ship fleet deployment with week-dependent container shipment demand," European Journal of Operational Research, Elsevier, vol. 222(2), pages 241-252.
    15. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
    16. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    17. Gelareh, Shahin & Meng, Qiang, 2010. "A novel modeling approach for the fleet deployment problem within a short-term planning horizon," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 76-89, January.
    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. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    2. Manuel Herrera & Per J. Agrell & Casiano Manrique-de-Lara-Peñate & Lourdes Trujillo, 2017. "Vessel capacity restrictions in the fleet deployment problem: an application to the Panama Canal," Annals of Operations Research, Springer, vol. 253(2), pages 845-869, June.
    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. 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.
    5. Chen, Kang & Chen, Dongxu & Sun, Xueshan & Yang, Zhongzhen, 2016. "Container Ocean-transportation System Design with the factors of demand fluctuation and choice inertia of shippers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 267-281.
    6. Zheng, Jianfeng & Sun, Zhuo & Zhang, Fangjun, 2016. "Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 123-140.
    7. Zheng, Jianfeng & Qi, Jingwen & Sun, Zhuo & Li, Feng, 2018. "Community structure based global hub location problem in liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 1-19.
    8. Liu, Zhiyuan & Meng, Qiang & Wang, Shuaian & Sun, Zhuo, 2014. "Global intermodal liner shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 28-39.
    9. Meng, Qiang & Wang, Shuaian, 2012. "Liner ship fleet deployment with week-dependent container shipment demand," European Journal of Operational Research, Elsevier, vol. 222(2), pages 241-252.
    10. Wang, Shuaian & Meng, Qiang & Sun, Zhuo, 2013. "Container routing in liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 1-7.
    11. Zheng, Jianfeng & Meng, Qiang & Sun, Zhuo, 2015. "Liner hub-and-spoke shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 32-48.
    12. Akyüz, M. Hakan & Lee, Chung-Yee, 2016. "Service type assignment and container routing with transit time constraints and empty container repositioning for liner shipping service networks," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 46-71.
    13. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
    14. Meng, Qiang & Wang, Tingsong & Wang, Shuaian, 2012. "Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand," European Journal of Operational Research, Elsevier, vol. 223(1), pages 96-105.
    15. Wang, Shuaian & Liu, Zhiyuan & Bell, Michael G.H., 2015. "Profit-based maritime container assignment models for liner shipping networks," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 59-76.
    16. Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
    17. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    18. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    19. 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.
    20. Nguyen Khoi Tran & Hans-Dietrich Haasis & Tobias Buer, 2017. "Container shipping route design incorporating the costs of shipping, inland/feeder transport, inventory and CO2 emission," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 667-694, December.

    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:inm:ortrsc:v:48:y:2014:i:2:p:281-312. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.