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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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    1. Swanson, Laura, 1997. "An empirical study of the relationship between production technology and maintenance management," International Journal of Production Economics, Elsevier, vol. 53(2), pages 191-207, November.
    2. Komonen, Kari, 2002. "A cost model of industrial maintenance for profitability analysis and benchmarking," International Journal of Production Economics, Elsevier, vol. 79(1), pages 15-31, September.
    3. Pinjala, Srinivas Kumar & Pintelon, Liliane & Vereecke, Ann, 2006. "An empirical investigation on the relationship between business and maintenance strategies," International Journal of Production Economics, Elsevier, vol. 104(1), pages 214-229, November.
    4. Al-Najjar, Basim, 2007. "The lack of maintenance and not maintenance which costs: A model to describe and quantify the impact of vibration-based maintenance on company's business," International Journal of Production Economics, Elsevier, vol. 107(1), pages 260-273, May.
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    Citations

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    Cited by:

    1. Ball, Peter & Lunt, Peter, 2020. "Lean eco-efficient innovation in operations through the maintenance organisation," International Journal of Production Economics, Elsevier, vol. 219(C), pages 405-415.
    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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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, Open Access Journal, vol. 9(6), pages 1-1, June.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

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