Maintenance performance measurement is critical to the growth of businesses, particularly those in the process industries and those that rely on heavy machinery and/or assets for production. Such businesses cannot ignore or undermine the importance of MPM within their maintenance function. However, throughout the years, maintenance has been viewed as an additional cost of operating rather than an enabler for improved RAMS, product quality, decreased incidence of litigation, upholding one's reputation with stakeholders, and increased profit. Without measuring the performance of the maintenance function, it can be difficult to determine whether the maintenance goals have been achieved and neither can the maintenance activities be enhanced nor optimized. As a result, it may become the last place to invest, causing the company to forego the benefits that proper maintenance delivers. The main purpose of this study was to develop an integrated KPI framework for measuring maintenance performance in the mining industry. The 134 KPIs in the proposed KPI framework were classified as either technical KPIs (asset operations management KPIs with 23 KPIs) connected to the assets and/or machines or soft KPIs (maintenance process management and maintenance resources management with 85 and 26 KPIs respectively) related to workflow. The implementation of these KPIs has been discussed, and dates, definitions, and general formulas have been proposed. Results from this study will serve as a guideline for the implementation of the KPIs.