Maintenance management is the set of decisions, routines, and indicators an organization uses to plan, execute, and control the maintenance of its assets, with the goal of keeping production available at the lowest sustainable cost. It brings strategy, planning, field execution, data, and people into one operating discipline. It is broader than Maintenance Planning and Control, or PCM, which is the specific function responsible for planning and scheduling work orders.
If your operation already runs SAP PM and you want to turn maintenance management from a spreadsheet exercise into a daily operating routine, explore PM Run's maintenance management system, an execution, mobility, and planning layer that operates on top of SAP PM.
This industrial maintenance management guide organizes the discipline into five pillars, describes the weekly routine of the people accountable for it, lists the indicators every manager should follow, and explains how to identify the current maturity level of your operation.
What is maintenance management?
Maintenance management is the discipline that decides what must be maintained, when the work should happen, and which resources it requires. It then verifies whether the plan was actually executed. It is not limited to repairing failed equipment. It covers the maintenance strategy for each asset, work planning and scheduling, field execution, analysis of the data generated by that execution, and management of the people who make the entire system work.
Within this discipline, Maintenance Planning and Control, commonly known in Latin American operations as PCM, is the specific function that turns strategy into a backlog, a schedule, and cost control. For a detailed view of this function, see our complete guide to Maintenance Planning and Control. This article addresses maintenance management as a whole, from strategy through execution, with planning and control as one of its components.
Organizations that run SAP PM have an important operating condition: SAP is already the central system of record for assets, work orders, and maintenance history. The management task is not to recreate those records elsewhere. It is to ensure that strategy, planning, and execution reach SAP with sufficient quality, and that execution data returns ready to support decisions.
The five pillars of maintenance management
A mature maintenance organization supports its operating routine with five pillars. Missing one does not immediately stop the operation, but it creates a blind spot that will eventually appear as unplanned downtime, spending above budget, or an overloaded team.
Strategy
Strategy defines the maintenance approach for each asset, such as corrective, preventive, predictive, or failure-finding maintenance, and the criteria behind that choice. Those criteria include asset criticality, the cost and consequence of failure, and failure history. In organizations that use SAP PM, the preventive strategy and its intervals remain in SAP, within the asset's maintenance plan. If your operation has not yet separated these approaches through explicit criteria, see the full comparison of maintenance types.
Planning and scheduling
Planning defines what must be done, which resources are required, and how the work should be prioritized. Scheduling defines when the work will occur and who will perform it, based on the team's actual capacity. Together, they turn a list of work orders into an executable maintenance plan, as explained in the maintenance plan guide. Work that has not yet been planned or executed forms the backlog, one of the clearest signals of planning health. Learn how to measure and reduce it in the maintenance backlog guide.
Execution
Execution is where the plan becomes fieldwork. The technician receives the work order, performs the task, records the condition found, and confirms the work completed. Execution quality determines the quality of everything that follows because maintenance indicators are calculated from reported field data. A poorly completed work order or labor hours entered from memory at the end of a shift undermines the reliability of every KPI built on that record.
Data and indicators
Every executed and properly reported work order generates data, including downtime, repair time, cause, symptom, part consumption, and cost. Maintenance management uses that data to calculate indicators such as MTBF, MTTR, backlog, and availability, and to decide where the next improvement cycle should focus. Without accurate reporting at the source, those indicators are estimates rather than measurements. Our maintenance KPI guide explains each one in detail.
People
People operate maintenance: planners, schedulers, technicians, and supervisors. Maintenance management must know who has each skill and certification, who is available on each shift, and how to distribute the workload so the right work order reaches someone qualified to execute it. This is often the most neglected pillar in organizations that focus only on systems and processes.
The weekly maintenance management routine
The five pillars become a practical operating rhythm through a weekly cycle similar to the one below, adjusted to the pace and constraints of each operation.
- At the beginning of the week: the planner reviews the open backlog, prioritizes work orders by criticality, and builds the weekly schedule using the team's actual capacity rather than theoretical availability.
- During the week: the team executes scheduled work orders, creates technical notifications when it finds conditions beyond the original scope, and the supervisor tracks what is in progress and what is late.
- At the end of the week: the manager reviews completed work, remaining backlog, and the availability of critical assets, then adjusts the following week's schedule using what actually happened rather than what was expected to happen.
This cycle only works when reliable data enters the system every day. A well-designed Gantt schedule on Monday loses value if Friday's work order confirmations do not represent what happened in the field.
Core maintenance management indicators
Four indicators appear in almost every maintenance management review.
- MTBF, mean time between failures: measures asset reliability. A higher MTBF means the asset operates longer between failures.
- MTTR, mean time to repair: measures maintenance response and restoration speed. A lower MTTR means the asset returns to production faster after a failure.
- Backlog: measures accumulated pending work and signals whether team capacity is keeping pace with work order demand.
- Availability: measures the percentage of time an asset is able to perform its required function. It is frequently used in executive reporting because it connects maintenance performance to production results.
Each has a dedicated guide with formulas and calculation examples: MTBF and MTTR, maintenance backlog, and asset availability. The broader view, including the other KPIs used in a maintenance performance panel, is available in the maintenance KPI guide.
Maintenance management maturity
Organizations are not all at the same point in this journey. Comparing your operation with a competitor without an objective framework often leads to the wrong investment decision. The IMA framework organizes maintenance maturity into six levels, from level 0, where strategy and reliable data are absent, to level 5, where data, strategy, and continuous improvement work together. The Portuguese guide to the six levels of digital maintenance maturity describes the characteristics, constraints, and typical technology at each level.
Free digital maturity assessment: answer 18 statements about your plant's maintenance routine and receive the current IMA level immediately, without registration, together with an action plan for that level. The assessment itself is currently available in Portuguese at the digital maturity assessment.
Knowing the current level changes the investment priority. A level 1 operation usually gains more by improving execution reporting and standardizing work orders than by buying an advanced analytics module that no one can feed with reliable data.
Where technology supports maintenance management
Technology does not replace the five pillars. It supports them. In an operation that runs SAP PM, technology should carry the strategy defined in SAP into the field, return validated execution records, and make the resulting data ready for management decisions.
In practice, this appears in three areas: work orders reach technicians on their mobile devices instead of remaining on paper or in spreadsheets; the weekly schedule is organized through one view of Gantt activities and team capacity instead of scattered files; and execution data is prepared and automated so managers can build their own performance panels without exporting and reconciling spreadsheets from different sources. PM Run supports these areas as an execution, mobility, and planning layer on top of SAP PM, without duplicating the asset register. See how it works in the maintenance management system integrated with SAP.
Explore the topics in this guide
Each pillar has a dedicated article: the complete maintenance planning and control guide, the types of maintenance, the maintenance plan, the maintenance backlog, the maintenance KPI guide, and the Portuguese article on the six levels of digital maturity.
Frequently Asked Questions
What is maintenance management?
It is the set of decisions and operating routines that define the maintenance approach for each asset, how work is planned and scheduled, how it is executed in the field, and how execution data becomes an indicator for the next decision.
What is the difference between maintenance management and maintenance planning and control?
Maintenance management is the full discipline: strategy, planning, execution, data, and people. Maintenance Planning and Control is the specific function within that discipline that turns strategy into a backlog, a schedule, and cost control.
Which maintenance management indicators are most important?
MTBF and MTTR measure reliability and repair speed, backlog measures accumulated pending work, and availability measures the percentage of time an asset is able to produce. Together, they provide a direct view of maintenance health.
How can I assess my maintenance maturity?
The IMA framework organizes maturity into six levels, from 0 to 5. PM Run's free digital maturity assessment uses 18 statements about the plant's routine to return the current level immediately, without registration. The assessment is currently available in Portuguese.
Does maintenance management change when a company runs SAP PM?
Yes. SAP PM is already the central system of record for assets, work orders, and history. The management task is therefore to ensure that strategy, planning, and execution reach SAP with sufficient quality rather than recreating those records in another system.
Where should an organization start improving maintenance management?
Start with execution reporting. An indicator built on incomplete data or hours recorded from memory cannot support a sound decision. Improving the discipline of field execution and data capture often creates more short-term value than investing in another system.
SAP PM Maintenance Routine Assessment
A 45-minute, no-cost conversation with practical feedback on where your operation loses time between SAP, spreadsheets, and the field. The campaign page is currently available in Portuguese. Schedule the conversation.
