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DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING

Year 2017, Volume: 5 Issue: 1, 34 - 40, 30.06.2017
https://doi.org/10.17261/Pressacademia.2017.568

Abstract

Ship
machinery maintenance is a core technical aspect to achieve expected
reliability, availability and efficiency in system level. Since maintenance
practiceon-board ships is so critical, the integrity of planning, coordination
and execution stages are expected to be well functioned. At this insight, this
study considers the implementation potential of maintenance 4.0, relatively a
new concept defined within industrial 4.0 initiative, in marine engineering
field. In detail, the generic design and implementation requirements of
maintenance 4.0 including key opportunities and challenges are identified.
Moreover, a comprehensive requirement analysis is conducted to adopt
maintenance 4.0 concept into ship machinery systems of existing and newbuilding
merchant ships. 

References

  • Albert A., B, Gladysz B., T, Pinner, V., Butenko, T., Stürmlinger (2016).Procedure for Defining the System of Objectives in the Initial Phase of an Industry 4.0 Project Focusing on Intelligent Quality Control Systems, Procedia CIRP, Volume 52, 2016, Pages 262-267, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.07.067.
  • Allianz Shipping Review (2016) Allianz 2016, http://www.agcs.allianz.com/assets/PDFs/Reports/AGCS_Safety_Shipping_Review_2016.pdf, date retrieved: 01.03.2017.
  • Baidya, R., & Ghosh, S. K. (2015). Model for a predictive maintenance system effectiveness using the analytical hierarchy process as analytical tool. IFAC-PapersOnLine, 48(3), 1463-1468.
  • Bagheri, B., Yang, S., Kao, H. A., & Lee, J. (2015). Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment. IFAC-PapersOnLine, 48(3), 1622-1627.
  • Blöchl, S. J., & Schneider, M. (2016). Simulation Game for Intelligent Production Logistics–The PuLL® Learning Factory. Procedia CIRP, 54, 130-135.
  • Campos, Jaime, Erkki Jantunen, and Om Prakash. "A weband mobile device architecture for mobile emaintenance." The International Journal of Advanced Manufacturing Technology , 2009.
  • Carlos Toro et al. (2015)Procedia Computer Science 60 ( 2015 ) 362 – 370
  • Chalabia,N. , M. Dahaneb, M., Beldjilalia, B., Nekic, A. (2016). Optimisation of preventive maintenance grouping strategy for multicomponent series systems: Particle swarm based approach. Computers & Industrial Engineering. Volume 102, December 2016, Pages 440–451
  • Chowdhury, Soumitra, Asif Akram, and Maria Åkesson. "E-maintenance as an emerging customer value generating it-enabled resource." 7th Mediterranean Conference on Information Systems, Guimarães, Portugal, September 8-10, 2012. 2012.
  • Dutra D. S., Silva, J. R. (2016). Product-Service Architecture (PSA): toward a Service Engineering perspective in Industry 4.0, IFACPapersOnLine, Volume 49, Issue 31, 2016, Pages 91-96, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2016.12.167.
  • Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CIRP, 54, 13-18.
  • Fang, L.. Zhaodong, H. (2013). System Dynamics Based Simulation Approach on Corrective Maintenance Cost of Aviation Equipments. Procedia Engineering, Volume 99, 2015, Pages 150-155
  • Fumagalli, L., Di Leone, F., Jantunen, E., & MacChi, M. (2010). Economic value of technologies in an e-Maintenance platform. IFAC Proceedings Volumes (IFAC-PapersOnline), 1(PART 1), 18–23. https://doi.org/http://dx.doi.org/10.3182/20100701-2-PT-4012.00005
  • García-Valls, M., Calva-Urrego, C., Alonso, A., & de la Puente, J. A. (2016, April). Adjusting middleware knobs to suit CPS domains. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (pp. 2027-2030). ACM.
  • Hadidi, A., Al-Turki, U, M., Rahim, U, A. (2012) Practical implications of managerial decisions to integrate production scheduling and maintenance, International Journal of System Assurance Engineering and Management, 224-230.
  • Han, T., Young, B. (2006). Development of an e-maintenance system integrating advancedtechniques. Computers in Industry, 57(6), pp. 569-580
  • Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic Approach for Human Resource Management in Industry 4.0. Procedia CIRP, 54, 1-6.
  • ISM, ISM code, chapter 5. Retrieved 28 December 2013
  • Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory Industry 4.0. International Journal of Production Research, 54(2), 386-402.
  • Jonge, B., Teunter, R., Tinga, T. (2016) 30The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance. Reliability Engineering & System Safety, 2017 vol: 158 pp: 21-
  • Kagermann, H. J. Helbig, A. Hellinger, W. Wahlster (2013). Recommendationsfor Implementing the Strategic Initiative INDUSTRIE 4.0: Securing theFuture of German Manufacturing Industry; Final Report of the Industrie 4.0 Working Group, Forschungsunion, 2013.
  • Kagermann, H. (2014). Chancen von Industrie 4.0 nutzen.Anwendung, Technologien und Migration, 603-614.
  • Kolberg, D., Zühlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies, IFAC-PapersOnLine, Volume 48, Issue 3, 2015, Pages 1870-1875, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2015.06.359.
  • Landherr. M, Schneider, U., Bauernhansl, T. (2016) The Application Center Industrie 4.0 - Industry-driven Manufacturing, Research and Development, Procedia CIRP, Volume 57, 2016, Pages 26-31, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.11.006.
  • Lee, E. A. (2008). Cyber Physical Systems: Design Challenges, 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing, pp 363-369.
  • Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 38.
  • Marquez F.P.G, Tobias, A.M. and Perez, J.M.P. (2012). Condition monitoring of wind turbines: Techniques and methods, Mayorkinas Papaelias Renewable Energy, 46, 169-178.
  • Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., … Ueda, K. (2016). Cyber-physical systems in manufacturing.
  • CIRP Annals - Manufacturing Technology, 65(2), 621–641. https://doi.org/10.1016/j.cirp.2016.06.005 (http://www.sciencedirect.com/science/article/pii/S2212827114003497)
  • Piotrowski, J. April 2, 2001. Pro-Active Maintenance for Pumps, Archives, February 2001.
  • Qin, J., Liu, Y., Grosvenor, R. (2016) A Categorical Framework of Manufacturing for Industry 4.0 and Beyond, Procedia CIRP, Volume 52, 2016, Pages 173-178, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.08.005
  • Quint, F., Sebastian, K., & Gorecky, D. (2015). A mixed-reality learning environment. Procedia Computer Science, 75, 43-48.
  • Raza, A., Ulansky, V. (2016) Modelling of Predictive Maintenance for a Periodically Inspected System, DOI: 10.1016/j.procir.2016.09.032.
  • Restrepo L.M.R, Hennequin, S., Aguezzoul, A. (2016). Optimization of integrated preventive maintenance based on infinitesimal perturbation analysis. Comput. Ind. Eng. 98, C (August 2016), 470-482. DOI: http://dx.doi.org/10.1016/j.cie.2016.06.019
  • Schumacher, A. Erol, S. Sihn, W. (2016) A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises, Procedia CIRP, Volume 52, 2016, Pages 161-166, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.07.040.
  • Smith, Anthony M., and Glenn R. Hinchcliffe. 2004. RCM: gateway to world class maintenance. Amsterdam: Elsevier ButterworthHeinemann. http://www.123library.org/book_details/?id=36146.
  • Stock, T., & Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536–541. https://doi.org/10.1016/j.procir.2016.01.129
  • Thames, L., & Schaefer, D. (2016). Software-defined Cloud Manufacturing for Industry 4.0. Procedia CIRP, 52, 12-17.
  • Wittenberg, C. (2016). Human-CPS Interaction - requirements and human-machine interaction methods for the Industry 4.0, IFACPapersOnLine, Volume 49, Issue 19, 2016, Pages 420-425, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2016.10.602
  • Yssaad, B., Khiat, M., & Chaker, A. (2012). Maintenance Optimization for Equipment of Power Distribution System Based on FMECA Method. Journal Acta Electrotehnica, 53, 218-223.
  • Zezulka, F., Marcon, P., Vesely, I., & Sajdl, O. (2016). Industry 4.0 – An Introduction in the phenomenon. IFAC-PapersOnLine, 49(25), 8–12. https://doi.org/10.1016/j.ifacol.2016.12.002
Year 2017, Volume: 5 Issue: 1, 34 - 40, 30.06.2017
https://doi.org/10.17261/Pressacademia.2017.568

Abstract

References

  • Albert A., B, Gladysz B., T, Pinner, V., Butenko, T., Stürmlinger (2016).Procedure for Defining the System of Objectives in the Initial Phase of an Industry 4.0 Project Focusing on Intelligent Quality Control Systems, Procedia CIRP, Volume 52, 2016, Pages 262-267, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.07.067.
  • Allianz Shipping Review (2016) Allianz 2016, http://www.agcs.allianz.com/assets/PDFs/Reports/AGCS_Safety_Shipping_Review_2016.pdf, date retrieved: 01.03.2017.
  • Baidya, R., & Ghosh, S. K. (2015). Model for a predictive maintenance system effectiveness using the analytical hierarchy process as analytical tool. IFAC-PapersOnLine, 48(3), 1463-1468.
  • Bagheri, B., Yang, S., Kao, H. A., & Lee, J. (2015). Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment. IFAC-PapersOnLine, 48(3), 1622-1627.
  • Blöchl, S. J., & Schneider, M. (2016). Simulation Game for Intelligent Production Logistics–The PuLL® Learning Factory. Procedia CIRP, 54, 130-135.
  • Campos, Jaime, Erkki Jantunen, and Om Prakash. "A weband mobile device architecture for mobile emaintenance." The International Journal of Advanced Manufacturing Technology , 2009.
  • Carlos Toro et al. (2015)Procedia Computer Science 60 ( 2015 ) 362 – 370
  • Chalabia,N. , M. Dahaneb, M., Beldjilalia, B., Nekic, A. (2016). Optimisation of preventive maintenance grouping strategy for multicomponent series systems: Particle swarm based approach. Computers & Industrial Engineering. Volume 102, December 2016, Pages 440–451
  • Chowdhury, Soumitra, Asif Akram, and Maria Åkesson. "E-maintenance as an emerging customer value generating it-enabled resource." 7th Mediterranean Conference on Information Systems, Guimarães, Portugal, September 8-10, 2012. 2012.
  • Dutra D. S., Silva, J. R. (2016). Product-Service Architecture (PSA): toward a Service Engineering perspective in Industry 4.0, IFACPapersOnLine, Volume 49, Issue 31, 2016, Pages 91-96, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2016.12.167.
  • Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CIRP, 54, 13-18.
  • Fang, L.. Zhaodong, H. (2013). System Dynamics Based Simulation Approach on Corrective Maintenance Cost of Aviation Equipments. Procedia Engineering, Volume 99, 2015, Pages 150-155
  • Fumagalli, L., Di Leone, F., Jantunen, E., & MacChi, M. (2010). Economic value of technologies in an e-Maintenance platform. IFAC Proceedings Volumes (IFAC-PapersOnline), 1(PART 1), 18–23. https://doi.org/http://dx.doi.org/10.3182/20100701-2-PT-4012.00005
  • García-Valls, M., Calva-Urrego, C., Alonso, A., & de la Puente, J. A. (2016, April). Adjusting middleware knobs to suit CPS domains. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (pp. 2027-2030). ACM.
  • Hadidi, A., Al-Turki, U, M., Rahim, U, A. (2012) Practical implications of managerial decisions to integrate production scheduling and maintenance, International Journal of System Assurance Engineering and Management, 224-230.
  • Han, T., Young, B. (2006). Development of an e-maintenance system integrating advancedtechniques. Computers in Industry, 57(6), pp. 569-580
  • Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic Approach for Human Resource Management in Industry 4.0. Procedia CIRP, 54, 1-6.
  • ISM, ISM code, chapter 5. Retrieved 28 December 2013
  • Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory Industry 4.0. International Journal of Production Research, 54(2), 386-402.
  • Jonge, B., Teunter, R., Tinga, T. (2016) 30The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance. Reliability Engineering & System Safety, 2017 vol: 158 pp: 21-
  • Kagermann, H. J. Helbig, A. Hellinger, W. Wahlster (2013). Recommendationsfor Implementing the Strategic Initiative INDUSTRIE 4.0: Securing theFuture of German Manufacturing Industry; Final Report of the Industrie 4.0 Working Group, Forschungsunion, 2013.
  • Kagermann, H. (2014). Chancen von Industrie 4.0 nutzen.Anwendung, Technologien und Migration, 603-614.
  • Kolberg, D., Zühlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies, IFAC-PapersOnLine, Volume 48, Issue 3, 2015, Pages 1870-1875, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2015.06.359.
  • Landherr. M, Schneider, U., Bauernhansl, T. (2016) The Application Center Industrie 4.0 - Industry-driven Manufacturing, Research and Development, Procedia CIRP, Volume 57, 2016, Pages 26-31, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.11.006.
  • Lee, E. A. (2008). Cyber Physical Systems: Design Challenges, 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing, pp 363-369.
  • Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 38.
  • Marquez F.P.G, Tobias, A.M. and Perez, J.M.P. (2012). Condition monitoring of wind turbines: Techniques and methods, Mayorkinas Papaelias Renewable Energy, 46, 169-178.
  • Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., … Ueda, K. (2016). Cyber-physical systems in manufacturing.
  • CIRP Annals - Manufacturing Technology, 65(2), 621–641. https://doi.org/10.1016/j.cirp.2016.06.005 (http://www.sciencedirect.com/science/article/pii/S2212827114003497)
  • Piotrowski, J. April 2, 2001. Pro-Active Maintenance for Pumps, Archives, February 2001.
  • Qin, J., Liu, Y., Grosvenor, R. (2016) A Categorical Framework of Manufacturing for Industry 4.0 and Beyond, Procedia CIRP, Volume 52, 2016, Pages 173-178, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.08.005
  • Quint, F., Sebastian, K., & Gorecky, D. (2015). A mixed-reality learning environment. Procedia Computer Science, 75, 43-48.
  • Raza, A., Ulansky, V. (2016) Modelling of Predictive Maintenance for a Periodically Inspected System, DOI: 10.1016/j.procir.2016.09.032.
  • Restrepo L.M.R, Hennequin, S., Aguezzoul, A. (2016). Optimization of integrated preventive maintenance based on infinitesimal perturbation analysis. Comput. Ind. Eng. 98, C (August 2016), 470-482. DOI: http://dx.doi.org/10.1016/j.cie.2016.06.019
  • Schumacher, A. Erol, S. Sihn, W. (2016) A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises, Procedia CIRP, Volume 52, 2016, Pages 161-166, ISSN 2212-8271, http://dx.doi.org/10.1016/j.procir.2016.07.040.
  • Smith, Anthony M., and Glenn R. Hinchcliffe. 2004. RCM: gateway to world class maintenance. Amsterdam: Elsevier ButterworthHeinemann. http://www.123library.org/book_details/?id=36146.
  • Stock, T., & Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536–541. https://doi.org/10.1016/j.procir.2016.01.129
  • Thames, L., & Schaefer, D. (2016). Software-defined Cloud Manufacturing for Industry 4.0. Procedia CIRP, 52, 12-17.
  • Wittenberg, C. (2016). Human-CPS Interaction - requirements and human-machine interaction methods for the Industry 4.0, IFACPapersOnLine, Volume 49, Issue 19, 2016, Pages 420-425, ISSN 2405-8963, http://dx.doi.org/10.1016/j.ifacol.2016.10.602
  • Yssaad, B., Khiat, M., & Chaker, A. (2012). Maintenance Optimization for Equipment of Power Distribution System Based on FMECA Method. Journal Acta Electrotehnica, 53, 218-223.
  • Zezulka, F., Marcon, P., Vesely, I., & Sajdl, O. (2016). Industry 4.0 – An Introduction in the phenomenon. IFAC-PapersOnLine, 49(25), 8–12. https://doi.org/10.1016/j.ifacol.2016.12.002
There are 41 citations in total.

Details

Journal Section Articles
Authors

Cagatay Kandemir This is me

Metin Celik

Publication Date June 30, 2017
Published in Issue Year 2017 Volume: 5 Issue: 1

Cite

APA Kandemir, C., & Celik, M. (2017). DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING. PressAcademia Procedia, 5(1), 34-40. https://doi.org/10.17261/Pressacademia.2017.568
AMA Kandemir C, Celik M. DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING. PAP. June 2017;5(1):34-40. doi:10.17261/Pressacademia.2017.568
Chicago Kandemir, Cagatay, and Metin Celik. “DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING”. PressAcademia Procedia 5, no. 1 (June 2017): 34-40. https://doi.org/10.17261/Pressacademia.2017.568.
EndNote Kandemir C, Celik M (June 1, 2017) DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING. PressAcademia Procedia 5 1 34–40.
IEEE C. Kandemir and M. Celik, “DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING”, PAP, vol. 5, no. 1, pp. 34–40, 2017, doi: 10.17261/Pressacademia.2017.568.
ISNAD Kandemir, Cagatay - Celik, Metin. “DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING”. PressAcademia Procedia 5/1 (June 2017), 34-40. https://doi.org/10.17261/Pressacademia.2017.568.
JAMA Kandemir C, Celik M. DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING. PAP. 2017;5:34–40.
MLA Kandemir, Cagatay and Metin Celik. “DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING”. PressAcademia Procedia, vol. 5, no. 1, 2017, pp. 34-40, doi:10.17261/Pressacademia.2017.568.
Vancouver Kandemir C, Celik M. DETERMINING SHIPBOARD INTEGRATION REQUIREMENTS of MAINTENANCE 4.0 CONCEPT in MARINE ENGINEERING. PAP. 2017;5(1):34-40.

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