Skip to main content
SpringerLink
Log in
Book cover

International Conference on Business Information Systems

BIS 2018: Business Information Systems Workshops pp 659–674Cite as

Modelling of Risk and Reliability of Maritime Transport Services

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

Abstract

Maritime transport plays nowadays an important role in the global economy. In 2017 around 80% of trade was carried by sea, therefore there is a need for constant monitoring of transport processes from the point of view of their reliability and punctuality. In order to provide up-to-date information about reliability and punctuality, a lot of data from different maritime sources needs to be collected and analysed. The paper presents concepts of two methods that based on an analysis of big amount of maritime data provide information that might be used to support various entities from the maritime domain in decision-making. The first method concerns a short-term assessment of reliability of a maritime transport service, while the second one dynamically predicts punctuality of a ship. The presented methods are part of a PhD research. The aim of the article is to provide an overview of this research, starting from motivation, its objectives and the thesis, through presentation of the methods, up to description of the main results of methods’ evaluation.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.gospodarkamorska.pl/Porty,Transport/punktualnosc-kontenerowcow-spadla-w-zeszlym-roku.html, accessed: 2018-03-19.

References

  1. UNCTAD: Review of maritime transport 2017 (2017)

    Google Scholar 

  2. Vernimmen, B., Dullaert, W., Engelen, S.: Schedule unreliability in liner shipping: origins and consequences for the hinterland supply chain. Marit. Econ. Logist. 9(3), 193–213 (2007)

    Article  Google Scholar 

  3. Calkoen, C., Santbergen, P.: MetOcean services to the marine transport sector. Deliverable of Melodies Project (2016)

    Google Scholar 

  4. Veldhuis, H.D.: Developing an automated solution for ETA definition concerning long distance shipping. Ph.D. thesis, University of Twente (2015)

    Google Scholar 

  5. Goerlandt, F., Montewka, J.: Maritime transportation risk analysis: review and analysis in light of some foundational issues. Reliab. Eng. Syst. Saf. 138, 115–134 (2015)

    Article  Google Scholar 

  6. ABS: Guidance notes on risk assessement applications for the marine and offshore oil and gas industries. Technical report, American Bureau of Shipping (2000)

    Google Scholar 

  7. Szymanek, A.: Risk acceptation principles in transport. J. KONBiN 5(2), 271–281 (2008)

    Article  Google Scholar 

  8. Soares, C.G., Teixeira, A.P.: Risk assessment in maritime transportation. Reliab. Eng. Syst. Saf. 74(3), 299–309 (2001)

    Article  Google Scholar 

  9. Berle, Ø., Asbjørnslett, B.E., Rice, J.B.: Formal vulnerability assessment of a maritime transportation system. Reliab. Eng. Syst. Saf. 96(6), 696–705 (2011)

    Article  Google Scholar 

  10. Trucco, P., Cagno, E., Ruggeri, F., Grande, O.: A Bayesian belief network modelling of organisational factors in risk analysis: a case study in maritime transportation. Reliab. Eng. Syst. Saf. 93(6), 823–834 (2008)

    Article  Google Scholar 

  11. Balmat, J.F., Lafont, F., Maifret, R., Pessel, N.: MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor. Ocean Eng. 36(15–16), 1278–1286 (2009)

    Article  Google Scholar 

  12. Elsayed, T.: Fuzzy inference system for the risk assessment of liquefied natural gas carriers during loading/offloading at terminals. Appl. Ocean Res. 31(3), 179–185 (2009)

    Article  Google Scholar 

  13. Kowalski, J., Kozera, J.: Mapa zagrożeń bezpieczeństwa energetycznego RP w sektorach ropy naftowej i gazu ziemnego. In: Bezpieczeństwo Narodowe, pp. 301–324. BBN, Warszawa (2009)

    Google Scholar 

  14. Blaich, M., Köhler, S., Reuter, J., Hahn, A.: Probabilistic collision avoidance for vessels. IFAC-PapersOnLine 48(16), 69–74 (2015)

    Article  Google Scholar 

  15. Hornauer, S., Hahn, A.: Towards marine collision avoidance based on automatic route exchange. IFAC Proc. Vol. 46(33), 103–107 (2013)

    Article  Google Scholar 

  16. Wieteska, G.: Zarządzanie ryzykiem w łacuchu dostaw na rynku B2B. Difin (2011)

    Google Scholar 

  17. Hevner, A., March, S., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)

    Article  Google Scholar 

  18. Hevner, A., Chatterjee, S.: Design Science Research in Information Systems. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-5653-8

    Book  Google Scholar 

  19. Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25(1), 77–89 (2016)

    Article  Google Scholar 

  20. Norkus, O., Sauer, J.: RABIC: a reference architecture for business intelligence in the cloud. J. Commun. Comput. 13, 244–260 (2016)

    Google Scholar 

  21. MMO: Mapping UK Shipping Density and Routes from AIS. Technical report, Marine Managment Organisation, Newcastle, UK (2014). MMO Project No: 1066

    Google Scholar 

  22. Shelmerdine, R.L.: Teasing out the detail: how our understanding of marine AIS data can better inform industries, developments, and planning. Mar. Policy 54, 17–25 (2015)

    Article  Google Scholar 

  23. Wu, L., Xu, Y., Wang, Q., Wang, F., Xu, Z.: Mapping global shipping density from AIS data. J. Navig. 70(1), 67–81 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Milena Stróżyna

Authors
  1. Milena Stróżyna
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Milena Stróżyna .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Berlin, Germany

    Adrian Paschke

Appendix

Appendix

See Table 1.

Table 1. Typology of maritime risk variables
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Stróżyna, M. (2019). Modelling of Risk and Reliability of Maritime Transport Services. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04849-5_56

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04848-8

  • Online ISBN: 978-3-030-04849-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation