The maintenance area is more complex than it looks. It is not limited to responding to calls and fixing equipment after a failure.
Productivity depends on planning, execution discipline, resource control, and reliable indicators. If the process is not well defined, the team loses time looking for parts, waiting for information, moving between systems, or rebuilding what happened at the end of the shift.
Improving maintenance productivity starts with reducing that operational friction.
What are the most common types of maintenance?
To understand how to improve productivity, it helps to separate the most common types of maintenance used in industrial operations.
Maintenance is the set of actions used to keep or restore equipment to its required operating condition. In practice, teams usually manage this work through three main approaches.
Corrective maintenance is the most visible. The asset fails, the team responds, and the repair is executed. It can be planned, when the intervention is scheduled, or emergency-based, when the failure stops production or creates immediate risk.
Preventive maintenance is based on predefined intervals, maintenance plans, and inspections. The goal is to find and correct small issues before they become breakdowns.
Predictive maintenance uses condition data, measurement points, inspections, and monitoring routines to decide when intervention is really needed. It tends to be more precise, but it depends on disciplined data collection at the asset.
How does technology expand maintenance productivity?
Maintenance productivity can be measured. One practical indicator is wrench time, the share of the workday spent actually executing maintenance work.
The calculation is simple: divide the time spent performing the technical task by the total available work hours. Do not include preparation time, searching for tools, waiting for materials, walking to the asset, or retyping information later.
Multiply the result by 100.
If the result is below 30%, it deserves attention. It means the technician is spending most of the time outside the activity that creates maintenance value. That loss affects productivity, response time, backlog, and plant performance.
That is why key indicators matter. Task duration, material waiting time, travel time, schedule adherence, MTTR, MTBF, and backlog only support decisions when the data is captured close to the work.
What can maintenance software and mobile apps actually do?
Maintenance software and automation tools are useful when they remove friction from execution and planning. The point is not to add another screen. The point is to help the team plan better, execute with traceability, and record field evidence at the right moment.
With a structured system, the team can control spare parts availability, connect materials to work orders, organize maintenance schedules, and identify which assets or areas need more attention.
The technician receives a clear sequence of what must be done, where the asset is, which materials are required, and what must be confirmed. The planner gains better visibility into capacity, skills, shifts, absences, and pending work.
When the field records execution in real time, the organization stops depending on late notes, paper forms, and manual consolidation. In internal cases, closing indicators manually can consume 6 to 7 hours per week, time that PCM could use for planning, scheduling, and prioritization.
When maintenance prepares in advance and plans routines with reliable operational data, maintenance productivity increases. Costs become easier to control, resources are used better, and the plant gains more time for priority work.
If the bottleneck is between field execution, planning, and what reaches SAP as the system of record, schedule a PM Run demo.
