May 12, 2026
Why maintenance process efficiency has such a major impact on production performance – and how to measure it?
There is no shortage of KPIs, reports are generated regularly, and data is constantly accumulating. Yet the same disruptions, cost pressures, and operational uncertainty continue to repeat themselves. One question often remains unanswered: why do the same problems keep coming back?
In many cases, the reason is that too much attention is placed on short-term efficiency metrics such as production downtime, failure rates, and cost deviations. You can see what happened, but not how maintenance processes are actually functioning, or why the end result remains unchanged.
Maintenance is not the only factor affecting production performance, but it is one of the most critical. The way maintenance work is planned, timed, and managed throughout the asset lifecycle directly impacts how reliably production operates. Over time, the effectiveness of maintenance becomes visible in production stability, cost structures, and overall risk levels.
“One of the biggest challenges in managing maintenance performance is that day-to-day work is often focused on handling disruptions and supporting production, while strategic objectives are defined years ahead. The management layer between these two levels is easily overlooked, and as a result, the development of maintenance processes inevitably receives too little attention,” says Antti Ketola, Head of Operational Development at Quant.
The real issue is often a lack of visibility into where work slows down, where resources become overloaded, or where effort is directed away from the activities that create the greatest impact. This makes it easy for decisions to rely on assumptions rather than a clear understanding of how maintenance performance affects production outcomes.
Limited visibility creates a false sense of control
Production and maintenance are often measured actively, but without a holistic view, decisions are easily based on partial information. When the same metrics are used to manage different time horizons, the understanding of actual performance becomes distorted. Short-term disruptions, response times, and costs are visible, while long-term impacts remain hidden in the background. As a result, operations may appear efficient in the moment, even as performance and production reliability gradually decline over time.
“In a typical situation, KPIs do not form a coherent framework that truly supports performance management. Reporting focuses on what has happened, rather than on how operations should be guided going forward.”
“When improvement efforts focus on individual symptoms instead of process bottlenecks, resources are consumed by managing urgency rather than systematically improving performance. As a result, the same problems continue to return, even when they have already been addressed before.”
Maintenance impacts performance on multiple levels
One of the key reasons why the impact of maintenance on plant reliability and production performance often remains unclear is that operations are viewed too narrowly or from the wrong level.
-At the operational level, challenges become visible quickly in everyday work. Disruptions repeat, production lacks stability, and plans must constantly be adjusted at short notice. This level is often measured actively, but the metrics mainly describe the consequences.
-At the strategic level, maintenance is viewed through investments, lifecycle management, and long-term competitiveness. The impacts emerge more slowly, but they are highly significant for overall production performance.
Between these levels lies the tactical level, where maintenance management either truly happens or fails to happen. This is the level where process efficiency determines whether strategic objectives and operational insights are translated into consistent day-to-day execution. It defines how work is planned, how resources are allocated, and how data is used to support decision-making.
“Problems often arise when improvement actions are targeted at the wrong level. The data itself may be high quality, but operations are still not managed systematically enough. Process bottlenecks are not identified consistently, preventive maintenance is not focused on the right assets, and decision-making is based on isolated figures instead of a complete operational picture,” Ketola explains.
Over time, the effects become visible through operational instability, resource overload, and the recurring return of the same issues when maintenance performance is not managed through tactical-level processes.
What should actually be evaluated?
Improving maintenance performance starts with understanding the processes themselves. Before focusing on KPIs, organizations need to understand how maintenance work is carried out and managed in practice: how work flows, how it is planned, and where execution begins to slow down.
“Once the key processes have been identified, the KPIs themselves can also be evaluated. Their purpose should not only be to report past performance, but to support maintenance management, especially at the tactical level. It is essential to assess whether the metrics actually reflect areas such as work planning, schedule adherence, workflow efficiency, and the share of reactive work. At the same time, roles and responsibilities must also be reviewed. Without clear ownership, tactical-level management easily becomes fragmented, even when large amounts of data and metrics are available.”
When development needs are identified systematically and integrated into the maintenance strategy and development roadmap, performance can be improved in a controlled and structured way across different time horizons.
You cannot improve what you do not truly evaluate
Without a clear understanding of what is happening, why it is happening, and at which level, even the best improvement initiatives will remain incomplete. But when performance is evaluated correctly, maintenance is no longer seen merely as a support function or a cost item, it becomes a critical part of production competitiveness.
If current visibility does not extend into how maintenance work is actually carried out and how the underlying processes function, it will inevitably raise more questions than answers. That is often the right moment to step back and evaluate the bigger picture from a new perspective.
