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Development of maintenance function performance measurement framework and indicators

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  • Muchiri, Peter
  • Pintelon, Liliane
  • Gelders, Ludo
  • Martin, Harry

Abstract

The performance and competitiveness of manufacturing companies is dependent on the reliability, availability and productivity of their production facilities. To ensure the plant achieves the desired performance, maintenance managers need a good track of performance on maintenance process and maintenance results. This can be attained through development and implementation of a rigorously defined performance measurement framework and indicators that are able to measure important elements of maintenance function performance. The purpose of this paper is to demonstrate that performance indicators are not defined in isolation, but should be the result of a careful analysis of the interaction of the maintenance function with other organisational functions, most evidently with the production function. In this paper, a conceptual framework that provide guidelines for choosing maintenance function performance indicators is proposed. It seeks to align maintenance objectives with manufacturing and corporate objectives, and provides a link between the maintenance objectives, maintenance process/efforts and maintenance results. Based on this conceptual framework, performance indicators of the maintenance process and maintenance results are identified for each category.

Suggested Citation

  • Muchiri, Peter & Pintelon, Liliane & Gelders, Ludo & Martin, Harry, 2011. "Development of maintenance function performance measurement framework and indicators," International Journal of Production Economics, Elsevier, vol. 131(1), pages 295-302, May.
    • Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:295-302
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    References listed on IDEAS

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    Cited by:

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    2. Patrick Zschech & Kai Heinrich & Raphael Bink & Janis S. Neufeld, 2019. "Prognostic Model Development with Missing Labels," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 327-343, June.
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    4. Murad, C.A. & Bellinello, M.M. & Silva, A.J. & Netto, A. Caminada & de Souza, G.F.M. & Nabeta, S.I., 2022. "A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method," Operations Research Perspectives, Elsevier, vol. 9(C).
    5. Antti Puurunen & Jukka Majava & Hanna Kropsu-Vehkapera & Pekka Kess, 2013. "Applicaability of the (Q,R)-Model in Maintenance Meterials Management," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
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    8. Johannes Freiesleben & Nicolas Gu'erin, 2015. "Homogenization and Clustering as a Non-Statistical Methodology to Assess Multi-Parametrical Chain Problems," Papers 1505.03874, arXiv.org, revised Dec 2017.
    9. Jakov Batelić & Karlo Griparić & Dario Matika, 2021. "Impact of Remediation-Based Maintenance on the Reliability of a Coal-Fired Power Plant Using Generalized Stochastic Petri Nets," Energies, MDPI, vol. 14(18), pages 1-14, September.
    10. A. K. Muchiri & B. W. Ikua & P. N. Muchiri & P. K. Irungu, 2017. "Development of a theoretical framework for evaluating maintenance practices," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 198-207, January.
    11. Yang Li & Qirong Tang & Qing Chang & Michael P. Brundage, 2017. "An event-based analysis of condition-based maintenance decision-making in multistage production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4753-4764, August.
    12. Maletič Damjan & Maletič Matjaž & Al-Najjar Basim & Gotzamani Katerina & Gianni Maria & Kalinowski T. Bartosz & Gomišček Boštjan, 2017. "Contingency Factors Influencing Implementation of Physical Asset Management Practices," Organizacija, Sciendo, vol. 50(1), pages 3-16, February.
    13. Díaz Cazañas Ronald & Delgado Sobrino Daynier Rolando & De La Paz Martínez Estrella María & Košťál Peter & Mudriková Andrea, 2018. "Integrating Production and Maintenance Planning as an Element of Success at the Tactical Level: A Fuzzy Control Theory Approach," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 26(42), pages 109-117, June.
    14. David Sanchez-Londono & Giacomo Barbieri & Luca Fumagalli, 2023. "Smart retrofitting in maintenance: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 1-19, January.
    15. Ivo Hristov & Antonio Chirico & Riccardo Camilli, 2022. "The role of Key Performance Indicators as a performance management tool in implementing corporate strategies: A critical review of the literature," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2022(1), pages 117-151.
    16. Hung, Yick-Hin & Li, Leon Y.O. & Cheng, T.C.E., 2022. "Uncovering hidden capacity in overall equipment effectiveness management," International Journal of Production Economics, Elsevier, vol. 248(C).
    17. Jamal Ahmed Hama Kareem & Kadhim Faraj Arif Saeed & Omar Mustafa Muhammad Faraj, 2019. "Maintenance Practices in Poor Uptime of Operating Equipment Toward Dynamic of Business Issues," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-21, April.
    18. Damjan Maletič & Matjaž Maletič & Basim Al-Najjar & Boštjan Gomišček, 2018. "Development of a Model Linking Physical Asset Management to Sustainability Performance: An Empirical Research," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    19. Leomara Battisti Telles & Luciano Medina Macedo & Juliana Vitória Messias Bittencourt, 2017. "Brazilian Solidarity Economy Rural Organizations: Validating Performance Evaluation Criteria Based on Decision Makers’ Perception," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    20. Karolina Kolinska & Boguslaw Sliwczynski & Lukasz Hadas & Adam Kolinski, 2017. "Operational Controlling In The Management Of Spare Parts Availability," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 17, pages 139-156.
    21. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2019. "A supporting framework for maintenance capacity planning and scheduling: Development and application in the aircraft MRO industry," International Journal of Production Economics, Elsevier, vol. 218(C), pages 1-15.
    22. V. N. Aju kumar & Piyush Gupta & O. P. Gandhi, 2019. "Maintenance performance evaluation using an integrated approach of graph theory, ISM and matrix method," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 57-82, February.
    23. P.S.T. Perera & H.S.C. Perera, 2013. "Developing a Performance Measurement System for Apparel Sector Lean Manufacturing Organizations in Sri Lanka," Vision, , vol. 17(4), pages 293-301, December.
    24. Ezutah Udoncy Olugu & Kuan Yew Wong & Jonathan Yong Chung Ee & Yslam D. Mammedov, 2022. "Incorporating Sustainability and Maintenance for Performance Assessment of Offshore Oil and Gas Platforms: A Perspective," Sustainability, MDPI, vol. 14(2), pages 1-19, January.

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