Abstract
To have a maintenance function in the company that ensures a competitive advantage in the world market requires the world class maintenance (WCM). Though several different periods in history, maintenance has shifted from reactive maintenance fixing it when it breaks towards more systematic analysis techniques in terms of root cause analysis. With the onset of digitalisation and the breakthrough technologies in from Industry 4.0 more advanced analytics are expected in WCM. In particular the indicator profit loss indicator (PLI) has shown promising results in measuring e.g. time losses in production in a monetary term. Further, this indicator has also been proposed to be included in predictive maintenance. However, it is not pointed out clearly which role PLI will have in WCM. The aim of this article is therefore to investigate the trends of WCM as well as how PLI can be included in this journey.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Blackstone, J.H., Cox, J.F.: APICS dictionary: editors: John H. Blackstone Jr., James F. Cox III. APICS, Alexandria, Va (2005)
Bokrantz, J., Skoogh, A., Berlin, C., Stahre, J.: Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030. Int. J. Prod. Econ. 191, 154–169 (2017). https://doi.org/10.1016/j.ijpe.2017.06.010
DIN.: German Standardization Roadmap - Industry 4.0. Version 3. Berlin (2018)
Haarman, M., Delahay, G.: VDM XL - Value Driven Maintenance & Asset Manadement. Mainnovation (2016)
Haarman, M., Mulders, M., CVassiliadis, C.: Predictive Maintenance 4.0 - Predict the unpredictable. PwC and Mainnovation (2017)
Han, T., Yang, B.-S.: Development of an e-maintenance system integrating advanced techniques. Comput. Ind. 57(6), 569–580 (2006). https://doi.org/10.1016/j.compind.2006.02.009
Imam, S.F., Raza, J., Ratnayake, R.M.C., World Class Maintenance (WCM): Measurable indicators creating opportunities for the Norwegian Oil and Gas industry. In: 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013, 10–13 December 2013, Bangkok, Thailand, IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, pp 1479–1483 (2014). https://doi.org/10.1109/ieem.2013.6962656
Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative INDUSTRIE 4.0 (2013)
Melvin, J., Boehlje, M., Dobbins, C., Gray, A.: The DuPont profitability analysis model: an application and evaluation of an e-learning tool. Agric. Finance Rev. 64(1), 75–89 (2004). https://doi.org/10.1108/00214660480001155
Muchiri, P., Pintelon, L.: Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion. Int. J. Prod. Res. 46(13), 3517–3535 (2008)
Nakajima, S.: TPM Development Program: Implementing Total Productive Maintenance. Productivity Press, Cambridge (1989)
Norwegian Petroleum Directorate.: Maintenance baseline study - A method for self-assessment of maintenance management systems. Downloaded from http://www.psa.no/news/baseline-study-article361-878.html (1998)
Rødseth, H., Schjølberg, P., Kirknes, M., Bernhardsen, T.I.: Increased profit and technical condition through new KPIs in maintenance management. In: Koskinen, K.T., Kortelainen, H., Aaltonen, J. et al. (eds.) Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015), pp. 505–511. Springer International Publishing, Cham (2016). https://doi.org/10.1007/978-3-319-27064-7_49
Rødseth, H., Schjølberg, P., Marhaug, A.: Deep digital maintenance. Adv. Manufact. 5(4), 299–310 (2017). https://doi.org/10.1007/s40436-017-0202-9
Rødseth, H., Skarlo, T., Schjølberg, P.: Profit loss indicator: a novel maintenance indicator applied for integrated planning. Adv. Manufact. 3(2), 139–150 (2015). http://dx.doi.org/10.1007/s40436-015-0113-6
Starr, A., Al-Najjar, B., Holmberg, K., Jantunen, E., Bellew, J., Albarbar, A.: Maintenance today and future trends. In: Holmberg, K., Adgar, A., Arnaiz, A., Jantunen, E., Mascolo, J., Mekid, S. (eds.) E-Maintenance, pp 5–37. Springer, London (2010). https://doi.org/10.1007/978-1-84996-205-6_2
Wireman, T.: Developing Performance Indicators for Managing Maintenance. Industrial Press, New York (2005)
Zuashkiani, A., Rahmandad, H., Andrew, K.S.J.: Mapping the dynamics of overall equipment effectiveness to enhance asset management practices. J. Qual. Maintenance Eng. 17(1), 74–92 (2011). https://doi.org/10.1108/13552511111116268
Acknowledgement
The authors wish to thank for valuable input from the research project CPS-plant. The Research Council of Norway is funding CPS-plant.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rødseth, H., Fordal, J.M., Schjølberg, P. (2019). The Journey Towards World Class Maintenance with Profit Loss Indicator. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering, vol 484. Springer, Singapore. https://doi.org/10.1007/978-981-13-2375-1_25
Download citation
DOI: https://doi.org/10.1007/978-981-13-2375-1_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2374-4
Online ISBN: 978-981-13-2375-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)