Optimize Preventive Maintenance Around Asset Risk and Failure Modes
Preventive maintenance optimization is essential to equipment reliability—but more PM does not necessarily mean better reliability. Over time, maintenance programs can accumulate tasks that are redundant, poorly timed, no longer relevant, or disconnected from how equipment actually fails. At the same time, critical failure modes may not be adequately addressed.
Implementation Engineers helps organizations implement optimized preventive maintenance programs based on asset criticality, equipment failure modes, maintenance history, operating conditions, and business risk through effective PM optimization.
The objective is to ensure maintenance teams are performing the right work, on the right assets, at the right frequency—improving reliability while eliminating unnecessary maintenance effort and making better use of skilled resources.
Understand whether existing preventive maintenance is delivering value.
IE evaluates current PM programs to determine what work is being performed, how frequently it occurs, whether it is completed as intended, and how effectively it addresses equipment reliability.
Existing PM tasks are reviewed alongside equipment history, breakdowns, downtime, maintenance costs, and workforce requirements to identify gaps and improvement opportunities.
Focus preventive maintenance resources where failure creates the greatest risk.
Not every asset requires the same level of preventive maintenance.
IE uses Asset Criticality Analysis to prioritize equipment based on operational consequences and ensure PM resources are concentrated on assets where failure creates significant production, safety, environmental, quality, or financial exposure.
Make sure PM tasks address how equipment actually fails.
IE evaluates preventive maintenance requirements against known and potential equipment failure modes.
Using reliability methodologies such as RCM, FMEA, equipment history, and frontline knowledge, we determine whether existing tasks can prevent or detect the failures that matter—and identify where maintenance strategies need to change as part of preventive maintenance program optimization.
Eliminate unnecessary work while strengthening the maintenance that matters.
Existing PM programs often contain tasks that have accumulated over years without being systematically challenged.
IE evaluates:
Task Content | Frequency | Duration | Failure Mode | Equipment Risk | Labor Requirements | Effectiveness
Tasks can then be eliminated, consolidated, redesigned, reassigned, or adjusted in frequency based on actual reliability requirements through focused maintenance task optimization.
Use the appropriate maintenance approach for each failure mode.
Optimization doesn’t necessarily mean replacing one preventive maintenance task with another.
Depending on equipment risk and failure behavior, IE may determine that a failure mode is better addressed through predictive or condition-based maintenance, operator inspection, equipment redesign, or another reliability strategy.
The objective is to select the most effective and economical intervention for the risk being managed.
Turn the optimized strategy into executable maintenance work.
Once PM strategies are defined, IE helps configure the requirements within the organization’s CMMS/EAM—including task content, frequencies, job plans, asset relationships, labor requirements, and appropriate performance measures.
Make sure the optimized program is actually executed and improved.
IE establishes appropriate KPIs, management routines, and accountability for monitoring PM execution and effectiveness.
The objective isn’t simply completing more PMs. It’s reducing failure through more effective maintenance and supporting PM frequency optimization.
More Preventive Maintenance Isn’t Always Better
Maintenance organizations often inherit PM programs that have evolved over many years. New tasks are added after failures, manufacturer recommendations are incorporated, frequencies are adjusted, and old requirements may remain even after equipment or operating conditions change.
The result can be a maintenance program containing too much work in some areas and not enough in others.
Excessive PM can consume skilled labor, increase planned downtime, introduce maintenance-induced failures, and reduce the time available for higher-value reliability work. Insufficient or ineffective PM leaves critical failure modes unaddressed.
PM Optimization creates a disciplined process for asking:
Does this task address a known failure mode?
Is this the right maintenance strategy?
Is it being performed at the right frequency?
Is the asset important enough to justify the intervention?
Is the task producing the intended reliability result?

A $1B specialty chemical manufacturer was experiencing chronic downtime caused by recurring equipment failures and reactive maintenance practices.
IE began by conducting a consequence-based Asset Criticality Assessment across operating units to prioritize equipment based on operational risk. That criticality framework was then used to redesign the preventive maintenance approach.
IE developed risk-based preventive maintenance programs for critical assets while eliminating unnecessary maintenance work, helping direct maintenance resources toward the equipment and failure risks that mattered most.
PM Optimization was integrated with a broader reliability transformation that included structured Root Cause Analysis for recurring failures and “bad actor” equipment, standardized planning and scheduling through SAP PM, turnaround improvement, and identification of high-ROI capital projects addressing systemic asset weaknesses.
Preventive maintenance optimization is the process of reviewing and improving PM tasks so maintenance is performed on the right assets, at the right frequency, and against actual failure modes—eliminating unnecessary work while strengthening reliability.
Ineffective PM tasks are identified by reviewing task content, frequency, equipment history, failure modes, labor requirements, and results to determine whether the work prevents or detects real failures or simply consumes resources.
PM optimization focuses on improving existing preventive maintenance tasks and frequencies. Reliability Centered Maintenance (RCM) is a broader methodology that determines the most appropriate maintenance strategy for each failure mode, which may include PM, predictive, condition-based, redesign, or run-to-failure approaches.