This is an outdated version published on 2022-08-23. Read the most recent version.

Key Result Indicators (KRIS) and Key Performance Indicators (KPIS)For Maintenance Management


  • Fereshteh Ahmadi Department of Mechanical and Construction Engineering, Northumbria University
  • Emile Molewijk Computational Science Lab, University of Amsterdam
  • Jurjen Helmus Urban Technology, Amsterdam University of Applied Sciences; Computational Science Lab, University of Amsterdam
  • SeyedReza RazaviAlavi Department of Mechanical and Construction Engineering, Northumbria University



Key Performance Indicator (KPI), Key Result Indicator (KRI);, Maintenance, Performance Measures, Asset Management


Maintenance management is an important process in the operation phase of any asset because it can impact the serviceability and useful life of the assets. In addition, maintenance management constitutes a substantial proportion of operational asset costs. Establishing a suitable set of (i) key result indicators to evaluate maintenance management and (ii) key performance indicators (KPIs) to improve decision maintenance making is essential for monitoring primary aspects of maintenance functions. While many KPIs are defined for evaluating maintenance management and subsequently used for identifying root causes of deficiencies, there are potential areas for improvement in defining their relation with KRIs and maintenance decision-making. This paper aims to identify the KRIs and KPIs related to maintenance management by conducting a literature review and exploring the use of performance measures in maintenance management. It also gains an algorithmic perspective on performance besides the existing organisational perspectives. The identified KRIs and KPIs are then analysed and categorised based on their purpose and content. In addition, primary data from interviews of industry practitioners is collected to identify the challenges of measuring maintenance performance in practice. The findings of this study show the lack of quality and reliable data, and automated data collection are the main issues in measuring maintenance KPIs. In addition, it was found that communication with the clients to understand their needs and update the KPIs based on their requirements and objectives over time could improve the effectiveness of the maintenance monitoring systems.



2022-08-19 — Updated on 2022-08-23


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