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Maritime Load Dependent Lead Times - An Analysis

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Computational Logistics (ICCL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10572))

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Abstract

Traditionally, the maritime sector follows a very conservative approach towards sharing information and adopting information technology (IT) to streamline logistic activities. Late arrivals of ships create problems especially with the trend to build large ships leading to peak loads of process steps and increased container lead times. Proposed solutions to fight congestion range from extending port capacities to process optimization of parts of the maritime supply chain. The potential that lies in information sharing and integrated planning using IT has received some attention, but mainly on the operational level concerning timely information sharing. Collaborative planning approaches for the maritime supply chain are scarce. The production industry already implemented planning and information concepts. Problems related to the maritime supply chain have great similarities with those encountered in production. Inspired by supply chain planning systems, we analyze the current state of (collaborative) planning in the maritime transport chain with focus on containers. Regarding the problem of congestion, we particularly emphasize on load dependent lead times (LDLT) which are well studied in production.

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References

  1. Ascencio, L., Gonzáles-Ramírez, R., Bearzotti, L., Smith, N., Camacho-Vallejo, J.: A collaborative supply chain management system for a maritime port logistics chain. Journal of Applied Research and Technology 12, 444–458 (2014)

    Article  Google Scholar 

  2. Elbert, R., Walter, F.: Information flow along the maritime transport chain - a simulation based approach to determined impacts of estimated time of arrival messages on the capacity utilization. In: Tolk, A., Diallo, S., Ryzhov, I., Yilmaz, L., Buckley, S., Miller, J. (eds.) Proceedings of the 2014 Winter Simulation Conference, pp. 1795–1806 (2014)

    Google Scholar 

  3. Elbert, R., Walter, F., Grig, R.: Delphi-based planning approach in the maritime transport chain. Journal of Shipping and Ocean Engineering 2, 175–181 (2012)

    Google Scholar 

  4. Fleischmann, B., Meyr, H., Wagner, M.: Advanced planning. In: Stadtler, H., Kilger, C. (eds.) Supply Chain Management and Advanced Planning, 5 edn., chap. 4, pp. 81–106. Springer (2015)

    Google Scholar 

  5. Heilig, L., Voß, S.: Port-centric information management in smart ports: A framework and categorization. Tech. rep., Institute of Information Systems, Universtiy of Hamburg (2016)

    Google Scholar 

  6. Hesketh, D.: Weaknesses in the supply chain: Who packed the box? World Customs Journal 4(2), 3–20 (2010)

    MathSciNet  Google Scholar 

  7. Lam, J.: Patterns of maritime supply chains: slot capacity analysis. Journal of Transport Geography 19, 366–374 (2011)

    Article  Google Scholar 

  8. McLellan, R.: Bigger vessels: How big is too big? Maritime Policy & Management 24(2), 193–211 (1997)

    Article  Google Scholar 

  9. Midoro, R., Pitto, A.: A critical evaluation of strategic alliances in liner shipping. Maritime Policy & Management 27(1), 31–40 (2000)

    Article  Google Scholar 

  10. Ockedahl, C.: Trucker apps help drivers save time, reduce port congestion (2016). https://www.trucks.com/2016/05/16/trucker-apps-help-drivers-save-time-reduce-port-congestion/

  11. Pahl, J., Voß, S., Woodruff, D.L.: Load dependent lead times - from empirical evidence to mathematical modeling. In: Kotzab, H., Seuring, S., Müller, M., Reiner, G. (eds.) Research Methodologies in Supply Chain Management, pp. 539–554. Physica, Heidelberg (2005)

    Chapter  Google Scholar 

  12. Pahl, J., Voß, S., Woodruff, D.: Production planning with load dependent lead times: an update of research. Annals of Operations Resarch 153(1), 297–345 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  13. Port of Hamburg: Port of Hamburg - digital gateway to the world. Internet Source (2016). http://www.hamburg-port-authority.de/de/presse/broschueren-und-publikationen/Documents/140401_HPA_Broschuere_spl_web.pdf (lastcall: July 08, 2016)

  14. Talley, W.: Maritime transport chains: Carrier, port and shipper choice effects. International Journal of Production Economics 151, 174–179 (2014)

    Article  Google Scholar 

  15. Veenstra, A.: Ocean transport and the facilitation of trade. In: Handbook of Ocean Container Transport Logistics: Making Global Supply Chains Effective. International Series in Operations Research & Management Science, vol. 220, pp. 429–450. Springer (2015)

    Google Scholar 

  16. Zampa, M.: Port of Oakland launches smart phone apps for harbor truckers. Internet Source (2016). http://www.portofoakland.com/press-releases/port-oakland-launches-smart-phone-apps-harbor-truckers/

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Author information

Authors and Affiliations

  1. SDU Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Campusvej 55, 5320, Odense, Denmark

    Julia Pahl

  2. Institute of Information Systems, University of Hamburg, Von-Melle-Park 5, 20146, Hamburg, Germany

    Stefan Voß

Authors
  1. Julia Pahl
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  2. Stefan Voß
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Corresponding author

Correspondence to Julia Pahl .

Editor information

Editors and Affiliations

  1. University of Southampton , Southampton, United Kingdom

    Tolga Bektaş

  2. University of Southampton , Southampton, United Kingdom

    Stefano Coniglio

  3. University of Southampton , Southampton, United Kingdom

    Antonio Martinez-Sykora

  4. University of Hamburg , Hamburg, Germany

    Stefan Voß

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Pahl, J., Voß, S. (2017). Maritime Load Dependent Lead Times - An Analysis. In: Bektaş, T., Coniglio, S., Martinez-Sykora, A., Voß, S. (eds) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science(), vol 10572. Springer, Cham. https://doi.org/10.1007/978-3-319-68496-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-68496-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68495-6

  • Online ISBN: 978-3-319-68496-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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