Advertisement

Socio-Technical Challenges of Smart Fleet Equipment Management Systems in the Maritime Industry

  • Jingyi Jiang
  • Guochao Peng
  • Fei Xing
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10921)

Abstract

Fleet management systems have been widely used in the maritime industry. Traditional fleet management systems focus on the whole vessel/ship. With the emergence of the Internet of Things and new smart technologies, smart fleet management systems are now embedded with greater power in comparison with traditional solutions, e.g. can be used to monitor the performance, status and behaviour of not just the whole ship but crucial internal components, such as engines, water treatment equipment, and propellers. However, developing, implementing and operating such new generation of fleet management system may not be straightforward and can encounter a wide range of socio-technical challenges, which have not been adequately explored in the current literature. This paper attempts to fill this knowledge gap by critically discussing these challenges, with practical suggestions drawn.

Keywords

Smart fleet management Vessel management Maritime industry  Socio-technical challenges 

References

  1. 1.
    Soner, O., Akyuz, E., Celik, M.: A maritime research concept through establishing ship operational problem solution (Shipos) centre via information technologies integrated with or/Ms. Procedia-Soc. Behav. Sci. 195, 2796–2803 (2015)CrossRefGoogle Scholar
  2. 2.
    Poulsen, R.T., Johnson, H.: The logic of business vs. the logic of energy management practice: understanding the choices and effects of energy consumption monitoring systems in shipping companies. J. Clean. Prod. 112, 3785–3797 (2016)CrossRefGoogle Scholar
  3. 3.
    Perera, L.P., Mo, B., Kristjánsson, L.A., Jønvik, P.C., Svarda, J.Ø.: Evaluations on ship performance under varying operational conditions. In: ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2015, Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, vol. 7, p. V007T06A060. American Society of Mechanical Engineers (ASME) (2015)Google Scholar
  4. 4.
    United Nations Conference on Trade and Development. http://unctad.org/en/pages/publicationwebflyer.aspx?publicationid=1650. Accessed 4 Nov 2017
  5. 5.
    Joszczuk–Januszewska, J.: Importance of cloud-based maritime fleet management software. In: Mikulski, J. (ed.) TST 2013. CCIS, vol. 395, pp. 450–458. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-41647-7_55CrossRefGoogle Scholar
  6. 6.
    Porter, M.E., Heppelmann, J.E.: How smart, connected products are transforming competition. Harv. Bus. Rev. 92(1–2), 64–88 (2015)Google Scholar
  7. 7.
    Hornby, A.S.: Oxford Advanced Learner’s English-Chinese Dictionary, 7th edn. Oxford University Press, Oxford (2009)Google Scholar
  8. 8.
    Lozano, J.L., Corbera, J., de Osés, F.X.M.: Design of a remote monitoring system for high speed craft. J. Navig. 53(3), 465–471 (2000)CrossRefGoogle Scholar
  9. 9.
    Gentile, A., Luglio, M., Manzo, M., Zampognaro, F.: Sensible: IP-layer dynamic bandwidth management for DVB-RCS network subdomains. Int. J. Satell. Commun. Netw. 32(5), 393–406 (2014)CrossRefGoogle Scholar
  10. 10.
    Gathof, J.M., Bassich, J.B.: Recent development in the Naval Oceanographic Office survey operation center. In: MTS/IEEE Conference on Celebrating the Past - Teaming Toward the Future, Oceans Conference Record (IEEE), San Diego, Calif, vol. 1, pp. 417–422. Institute of Electrical and Electronics Engineers Inc. (2003)Google Scholar
  11. 11.
    Thoma, C.: Fleet management on the basis of cloud software. Ship Offshore 3, 76–77 (2011)Google Scholar
  12. 12.
    Dutta, A., Peng, G.C., Choudhary, A.: Risks in enterprise cloud computing: the perspective of IT experts. J. Comput. Inf. Syst. 53(4), 39–48 (2013)Google Scholar
  13. 13.
    Beşikçi, E.B., Kececi, T., Arslan, O., Turan, O.: An application of fuzzy-AHP to ship operational energy efficiency measures. Ocean Eng. 121, 392–402 (2015)CrossRefGoogle Scholar
  14. 14.
    Logan, K.P.: Prognostic software agents for machinery health monitoring. In: 2003 IEEE Aerospace Conference, IEEE Aerospace Conference Proceedings, vol. 7, pp. 3213–3225. IEEE Computer Society (2003)Google Scholar
  15. 15.
    Saunders, M., Philip, L., Adrian, T.: Research Methods for Business Students, 5th edn. Prentice Hall Financial Times, Upper Saddle River (2006)Google Scholar
  16. 16.
    Seman, A.J.: Next generation Navy ship automation systems engineering from sensors to systems. In: Proceedings - 2005 International Conference on Systems, Man and Cybernetics Society, vol. 2, pp. 1218–1222. Institute of Electrical and Electronics Engineers Inc. (2005)Google Scholar
  17. 17.
    Luckose, L., Hess, H.L., Johnson, B.K.: Power conditioning system for fuel cells for integration to ships. In: 5th IEEE Vehicle Power and Propulsion Conference, VPPC 2009, pp. 858–864. IEEE Computer Society (2009)Google Scholar
  18. 18.
    Pan, K., Nunes, J.M.B., Peng, G.C.: Risks affecting ERP post-implementation: insights from a large Chinese manufacturing group. J. Manuf. Technol. Manag. 22(1), 107–130 (2011)CrossRefGoogle Scholar
  19. 19.
    Peng, G.C., Gala, C.J.: Cloud ERP: a new dilemma to modern organisations. J. Comput. Inf. Syst. 54(4), 589–599 (2014)Google Scholar
  20. 20.
    Challita, A., Barber, J., Ykema, J.: Integrating electromagnetic launchers on ships. In: 12th Symposium on Electromagnetic Launch Technology, pp. 495–498. Institute of Electrical and Electronics Engineers Computer Society (2004)Google Scholar
  21. 21.
    Zhao, M., Ma, J.W., Luo, H.L.: Schema of big data service oriented to ocean shipping service integration with WSN. In: International Conference on Computer Science and Environmental Engineering (CSEE 2015), pp. 712–717. Destech Publications, Inc. (2015)Google Scholar
  22. 22.
    Ghazouani, S., Slimani, Y.: A survey on cloud service description. J. Netw. Comput. Appl. 91, 61–74 (2017)CrossRefGoogle Scholar
  23. 23.
    Peng, G.C., Nunes, J.M.B.: Surfacing ERP exploitation risks through a risk ontology. Ind. Manag. Data Syst. 109(7), 926–942 (2009)CrossRefGoogle Scholar
  24. 24.
    Liu, X., Zhang, Q., Wang, S.: Research of ship maintenance management platform based on cloud computing. In: 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2015), vol. 39, pp. 2997–3001. Atlantis Press (2015)Google Scholar
  25. 25.
    Wang, X.V., Xu, X.: Cloud manufacturing in support of sustainability. In: 9th ASME International Manufacturing Science and Engineering Conference (MSEC 2014), vol. 1, p. V001T04A014. American Society Mechanical Engineers (2014)Google Scholar
  26. 26.
    Sidorov, V., Ng, W.K.: Transparent data encryption for data-in-use and data-at-rest in a cloud-based database-as-a-service solution. In: Proceedings - 2015 IEEE World Congress on Services (SERVICES 2015), pp. 221–228. Institute of Electrical and Electronics Engineers Inc. (2015)Google Scholar
  27. 27.
    Padilla Roland, S., Milton Simo, K., Johnson Lester, W.: Impact of service value on satisfaction and repurchase intentions in business-to-business cloud computing. Serv. Sci. 9(1), 5–13 (2017)CrossRefGoogle Scholar
  28. 28.
    De Oliveira, R.R., Martins, R.M., da Silva, S.A.: Impact of the vendor lock-in problem on testing as a service (TaaS). In: Proceedings - 2017 IEEE International Conference on Cloud Engineering, IC2E 2017, pp. 190–196. Institute of Electrical and Electronics Engineers Inc. (2017)Google Scholar
  29. 29.
    Choudhury, P., Sharma, M., Vikas, K.: Service ranking systems for cloud vendors. In: 2011 International Conference on Material Science and Information Technology, MSIT 2011, Advanced Materials Research, vol. 433–440, pp. 3949–3953. Trans Tech Publications (2011)CrossRefGoogle Scholar
  30. 30.
    Majewska, K., Mieloszyk, M., Ostachowicz, W.: Experimental method of strain/stress measurements on tall sailing ships using Fibre Bragg Grating sensors. Appl. Ocean Res. 47(2), 270–283 (2014)CrossRefGoogle Scholar
  31. 31.
    Luo, H., Wu, K., Guo, Z.: SID: ship intrusion detection with wireless sensor networks. In: Proceedings of the 31st International Conference on Distributed Computing Systems, ICDCS 2011, pp. 879–888. Institute of Electrical and Electronics Engineers Inc. (2011)Google Scholar
  32. 32.
    Perera, L.P., Mo, B.: Data compression of ship performance and navigation information under deep learning. In: ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2016, Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering – OMAE, vol. 7, p. V007T06A086. American Society of Mechanical Engineers (ASME) (2016)Google Scholar
  33. 33.
    Oh, S., Seo, D., Lee, B.: S3 (Secure Ship-to-Ship) information sharing scheme using ship authentication in the e-Navigation. Int. J. Secur. Appl. 9(2), 97–109 (2015)Google Scholar
  34. 34.
    Krush, D., Cammin, C., Heynicke, R., Scholl, G., Kaercher, B.: A wireless communication system for energy and environmental monitoring. J. Sens. Sens. Syst. 6(1), 19–26 (2017)CrossRefGoogle Scholar
  35. 35.
    Du Plessis, M.: Re-implementing an individual performance management system as a change intervention at higher education institutions - overcoming staff resistance. In: 7th European Conference on Management Leadership and Governance, pp. 105–115. ACAD Conferences Ltd. (2011)Google Scholar
  36. 36.
    Chow, R., Lamb, M., Charest, G.: Evaluation of current and future crew sizes and compositions: two RCN case studies. Nav. Eng. J. 128(4), 53–58 (2016)Google Scholar
  37. 37.
    Chaturvedi, S.K., Yang, C.S., Ouchi, K.: Ship recognition by integration of SAR and AIS. J. Navig. 65(2), 323–337 (2012)CrossRefGoogle Scholar
  38. 38.
    Lazakis, I., Dikis, K., Michala, A.L.: Advanced ship systems condition monitoring for enhanced inspection, maintenance and decision making in ship operations. In: 6th Transport Research Arena (TRA 2016), vol. 14, pp. 1679–1688. Elsevier Science BV (2016)CrossRefGoogle Scholar
  39. 39.
    Xiong, X., Wei, F., Li, J.: Vibration monitoring system of ships using wireless sensor networks. In: 11th IEEE International Conference on Mechatronics and Automation (ICMA 2014), pp. 90–94. IEEE (2014)Google Scholar
  40. 40.
    Runnerstrom, E.: Human systems integration and shipboard damage control. Nav. Eng. J. 115(4), 71–79 (2003)CrossRefGoogle Scholar
  41. 41.
    van de Merwe, F., Kahler, N., Securius, P.: Crew-centred design of ships - the CyClaDes project. In: 6th Transport Research Arena (TRA 2016), vol. 14, pp. 18–21. Elsevier Science BV (2016)Google Scholar
  42. 42.
    Zhu, L., Hou, M., Li, J.: Crew qualification comprehensive evaluation of shipping enterprise based on multi-level fuzzy evaluation method. In: 2013 International Conference on Materials, Transportation and Environmental Engineering, CMTEE 2013, Advanced Materials Research, vol. 779–780, p. 636+. Trans Tech Publications Ltd. (2013)CrossRefGoogle Scholar
  43. 43.
    Sydow, K.R.: Shipboard maintenance: what do Surface Warfare Officers need to know-and when do they need to know it. Nav. Eng. J. 120(2), 89–98 (2008)MathSciNetCrossRefGoogle Scholar
  44. 44.
    Naftanaila, I., Nistor, C.: Strategic importance of human resources recruitment and training for competitiveness and business excellence in maritime transport. In: 4th International Conference on Business Excellence, vol. 2, pp. 26–29. Infomarket Publ House (2009)Google Scholar
  45. 45.
    Sherbaz, S., Duan, W.: Operational options for green ships. J. Mar. Sci. Appl. 11(3), 335–340 (2012)CrossRefGoogle Scholar
  46. 46.
    Baker, C., Krull, R., Snyder, G.: Survey of reduced workload and crewing strategies for ocean patrol vessels. Nav. Eng. J. 113(2), 29–44 (2001)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Peking UniversityHaidian, BeijingChina
  2. 2.Sun Yat-sen UniversityPanyu District, GuangzhouChina

Personalised recommendations