IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/228953.html
   My bibliography  Save this book chapter

Tactical planning in tramp shipping - A literature review

In: Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 30

Author

Listed:
  • Pache, Hannah
  • Grafelmann, Michaela
  • Schwientek, Anne Kathrina
  • Jahn, Carlos

Abstract

Purpose: This paper discusses the current state of research on tactical planning in tramp shipping problems. The constantly changing demands in operative tramp shipping make tactical or strategical, i.e. longer-term planning, in comparison to operative planning more complex. The purpose of this paper is to describe solutions to tactical planning difficulties in tramp shipping and to point out future research directions. Methodology: For this paper, a systematic literature review of journal articles and book chapters of the last ten years is conducted. The findings of this search are analyzed and reviewed. Thus, different planning problems and their solutions are identified. Findings: Planning problems in tramp shipping are clearly distinct from planning problems in liner shipping as tramp shipping is subject to considerably more uncertainties. Due to the high degree of uncertainties in tramp shipping longer-term planning is challenging. Consequently, the results of research on tactical planning problems in liner shipping cannot be transferred directly to tramp shipping. Originality: This paper provides a comprehensive overview of strategic and tactical planning in tramp shipping as presented in the literature.

Suggested Citation

  • Pache, Hannah & Grafelmann, Michaela & Schwientek, Anne Kathrina & Jahn, Carlos, 2020. "Tactical planning in tramp shipping - A literature review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 281-308, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:228953
    DOI: 10.15480/882.3150
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/228953/1/hicl-2020-30-281.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15480/882.3150?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. Yewen Gu & Stein W. Wallace & Xin Wang, 2019. "Integrated maritime fuel management with stochastic fuel prices and new emission regulations," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(5), pages 707-725, May.
    2. Wu, Lingxiao & Pan, Kai & Wang, Shuaian & Yang, Dong, 2018. "Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 117-136.
    3. Fagerholt, Kjetil & Christiansen, Marielle & Magnus Hvattum, Lars & Johnsen, Trond A.V. & Vabø, Thor J., 2010. "A decision support methodology for strategic planning in maritime transportation," Omega, Elsevier, vol. 38(6), pages 465-474, December.
    4. Dinwoodie, John & Landamore, Melanie & Rigot-Muller, Patrick, 2014. "Dry bulk shipping flows to 2050: Delphi perceptions of early career specialists," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 64-75.
    5. Arslan, Ayşe N. & Papageorgiou, Dimitri J., 2017. "Bulk ship fleet renewal and deployment under uncertainty: A multi-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 69-96.
    6. Peter J. Stavroulakis & Stratos Papadimitriou, 2017. "Situation analysis forecasting: the case of European maritime clusters," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 779-789, August.
    7. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    8. Hyo-Won Kang & Grace W Y Wang & Hee-Seok Bang & Su-Han Woo, 2016. "Economic performance and corporate financial management of shipping firms," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(3), pages 317-330, September.
    9. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    10. Albert W. Veenstra & Jan Van Dalen, 2011. "Ship Speed and Fuel Consumption Quotation in Ocean Shipping Time Charter Contracts," Journal of Transport Economics and Policy, University of Bath, vol. 45(1), pages 41-61, January.
    11. Bakkehaug, Rikard & Eidem, Eirik Stamsø & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A stochastic programming formulation for strategic fleet renewal in shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 60-76.
    12. Ying Kou & Meifeng Luo, 2016. "Strategic capacity competition and overcapacity in shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(4), pages 389-406, May.
    13. 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.
    14. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    15. P. Morales-Fusco & S. Saurí & G. De Melo, 2013. "Short Sea Shipping in Supply Chains. A Strategic Assessment," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 476-496, July.
    16. Jørgen Laake & Abraham Zhang, 2016. "Joint optimization of strategic fleet planning and contract analysis in tramp shipping," Applied Economics, Taylor & Francis Journals, vol. 48(3), pages 203-211, January.
    17. 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.
    18. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    19. Dong Yang & Shuaian Wang, 2017. "Analysis of the development potential of bulk shipping network on the Yangtze River," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 512-523, May.
    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. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.

    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. Wu, Lingxiao & Wang, Shuaian & Laporte, Gilbert, 2021. "The Robust Bulk Ship Routing Problem with Batched Cargo Selection," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 124-159.
    2. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
    3. Wu, Lingxiao & Pan, Kai & Wang, Shuaian & Yang, Dong, 2018. "Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 117-136.
    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. Rigot-Müller, Patrick & Cheaitou, Ali & Etienne, Laurent & Faury, Olivier & Fedi, Laurent, 2022. "The role of polarseaworthiness in shipping planning for infrastructure projects in the Arctic: The case of Yamal LNG plant," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 330-353.
    6. Pache, Hannah & Kastner, Marvin & Jahn, Carlos, 2019. "Current state and trends in tramp ship routing and scheduling," 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 369-394, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    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. Arslan, Ayşe N. & Papageorgiou, Dimitri J., 2017. "Bulk ship fleet renewal and deployment under uncertainty: A multi-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 69-96.
    9. Sun, Qinghe & Li, Wei & Meng, Qiang, 2024. "Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
    10. Alfandari, Laurent & Davidović, Tatjana & Furini, Fabio & Ljubić, Ivana & Maraš, Vladislav & Martin, Sébastien, 2019. "Tighter MIP models for Barge Container Ship Routing," Omega, Elsevier, vol. 82(C), pages 38-54.
    11. Said El Noshokaty, 2017. "Shipping Optimisation Systems (SOS): tramp optimisation perspective," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-36, December.
    12. Beullens, Patrick & Ge, Fangsheng & Hudson, Dominic, 2023. "The economic ship speed under time charter contract—A cash flow approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    13. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    14. Magirou, Evangelos F. & Psaraftis, Harilaos N. & Bouritas, Theodore, 2015. "The economic speed of an oceangoing vessel in a dynamic setting," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 48-67.
    15. Meng, Qiang & Lee, Chung-Yee, 2016. "Liner container assignment model with transit-time-sensitive container shipment demand and its applicationsAuthor-Name: Wang, Shuaian," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 135-155.
    16. 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.
    17. 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.
    18. Shuaian Wang & Dan Zhuge & Lu Zhen & Chung-Yee Lee, 2021. "Liner Shipping Service Planning Under Sulfur Emission Regulations," Transportation Science, INFORMS, vol. 55(2), pages 491-509, March.
    19. Santini, Alberto & Plum, Christian E.M. & Ropke, Stefan, 2018. "A branch-and-price approach to the feeder network design problem," European Journal of Operational Research, Elsevier, vol. 264(2), pages 607-622.
    20. 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.

    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:zbw:hiclch:228953. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    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.