2025 was a challenging year for manufacturers, according to recent Deloitte research. Powered in part by the increasing adoption of smart manufacturing technologies, however, 2026 is on track for a rebound. As noted by a Deloitte outlook report, 80% of executives plan to invest 20% or more of their improvement budgets in smart manufacturing initiatives such as automation, analytics and cloud computing.
New tech, however, can only deliver on promised potential when supported by comprehensive maintenance strategies. These strategies bring together people, processes, technologies, data and MRO resources to create a single, coordinated approach.
The right strategy for your business depends on identifying equipment types, failure risks, production demands and workforce capabilities, and then building a maintenance approach tailored to risks and expectations.
Implemented effectively, a comprehensive factory maintenance program can reduce unplanned downtime, improve asset reliability, enhance cost control and support long-term operational performance.
What is a comprehensive maintenance program?
Many companies rely on disconnected maintenance practices. Basic preventive tasks may occur on a schedule that isn’t shared with production line teams or finance staff. Isolated predictive tools may anticipate critical failures but rely on manual operations, causing reactive repairs to become the default response when issues occur. The result is production lines that are operational but not optimized.
A comprehensive maintenance program, meanwhile, provides an integrated framework for managing industrial maintenance across the full asset lifecycle. Common elements of a comprehensive maintenance strategy include:
- Preventive maintenance
- Predictive maintenance
- Reactive repair readiness
- Reliability engineering
- MRO inventory management
- Workforce planning
- CMMS/EAM data management
- Safety and compliance
In practice, comprehensive systems are proactive and scalable solutions designed to improve maintenance performance across your facility.
Why manufacturers need a comprehensive maintenance strategy
Fragmented maintenance strategies can lead to multiple issues, including:
- Missed preventive tasks
- Repeated emergency repairs
- Poor inventory visibility
- Inefficient technician utilization
- Inconsistent documentation
- Higher downtime risk
It’s also not possible for companies to leverage a single-source strategy to solve all asset issues. Consider preventive maintenance. While using data collected from IoT devices and programmable logic controllers (PLCs) enables preventive maintenance scheduling that addresses common concerns, this strategy doesn’t account for emergencies that demand reactive maintenance.
Without a reactive strategy in place, teams may discover they don’t have the spare parts on hand to replace key components, in turn leading to increased downtime and lost revenue.
Instead, manufacturers need a maintenance strategy that includes reactive, preventive and predictive maintenance solutions along with data, inventory, reporting and workforce management.
It’s also worth noting that the right strategy is different for every business. Which approach works best depends on asset criticality, operating conditions, production impact and failure consequences. For example, a company with equipment that consistently operates under high pressure and temperature may need to spend more on a reactive maintenance program, while a business that has invested heavily in automation will need to prioritize the artificial intelligence (AI) and machine learning (ML) infrastructure necessary to predict events before they happen.
Key components of a comprehensive maintenance strategy
Comprehensive maintenance strategies include seven key components. While the proportion of these components within strategies varies across industries and business operations, ensuring each component is present helps improve the usable lifespan of key assets and reduce the risk of unplanned downtime.
Component | Purpose | Recommended for |
Preventive maintenance | Planned maintenance tasks to reduce predictable wear | Assets with known service intervals |
Predictive maintenance | Uses data to identify early failure signals | Critical or high-cost equipment |
Reactive maintenance | Ensures fast response when failures occur | Low-risk assets or unavoidable breakdowns |
CMMS/EAM | Centralizes work orders, asset history and KPIs | Facilities needing better visibility |
MRO management | Ensures parts are available without overstocking | Plants with costly stockouts or excess inventory |
Workforce planning | Aligns skills and staffing with maintenance needs | Facilities facing labor gaps |
Safety programs | Controls risk during maintenance work | All industrial environments |
Many of these components work in tandem to improve reliability. Consider preventive, predictive and reactive maintenance. Preventive maintenance identifies common failure points, allowing teams to create repair schedules that address these points before they become problems. Predictive maintenance takes this a step further by using current and historical data to identify both the probability of future issues and when they will most likely occur.
Reactive maintenance strategies round out the group. Despite best efforts, preventive and predictive maintenance planning can’t account for every problem; if plants experience sudden power outages caused by severe weather, equipment could be unexpectedly damaged or destroyed. A robust reactive strategy that includes a well-stocked inventory of spare parts along with access to skilled emergency technicians, either in-house or as a service, helps reduce the impact of failures that can’t be predicted.
Comprehensive maintenance strategy vs. traditional maintenance
Traditional maintenance management is designed to limit downtime. While this approach improves overall equipment effectiveness (OEE), it ignores the potential for improved cost control and productivity.
Category | Traditional maintenance | Comprehensive maintenance strategy |
Primary focus | Fixing or servicing equipment | Improving reliability and performance |
Approach | Often reactive or schedule-based | Risk-based and data-driven |
Data usage | Limited or inconsistent | Centralized and actionable |
Parts management | Often disconnected | Integrated with work planning |
Workforce model | Task-based | Skills-aligned and scalable |
Business impact | Keeps equipment running | Improves uptime, cost control and productivity |
How to build a comprehensive maintenance strategy
Moving from reactive strategies to connected frameworks requires a measured and data-driven approach. Eight steps can help get your team started.
Step 1: Assess your current maintenance performance.
Determine the efficacy of current equipment maintenance. Are issues identified and resolved quickly? Are the necessary parts on hand? Are there enough skilled staff available to handle maintenance tasks?
Step 2: Identify critical assets and production bottlenecks.
Use data to identify critical assets and production bottlenecks. The more money or time lost when an asset fails, the more critical its operation. The greater the impact of equipment failure on other production line processes, the narrower the bottleneck it represents.
Step 3: Review maintenance history and failure patterns.
Review maintenance data to find failure patterns and track trends over time.
Step 4: Define the right strategy for each asset.
Determine which maintenance strategy or combination of strategies works best for each asset.
Step 5: Integrate CMMS/EAS workflows.
Connecting CMMS and EAS workflows to maintenance activities enables the capture and analysis of real-time data.
Step 6: Optimize MRO inventory and storeroom processes.
Check parts availability against common failure points and then optimize MRO management strategies to match real-world operations.
Step 7: Align workforce skills with maintenance needs.
Evaluate the number and type of skills available in-house, then supplement with additional training or outsourced maintenance services as needed.
Step 8: Establish KPIs and continuous improvement reviews.
Establish KPIs to measure failure severity, failure rates and the mean time required to restore operations. Regularly review these KPIs to ensure processes are working as intended.
Looking to move from disconnected maintenance tasks to a connected strategy? See what’s recommended for your facility.
How to choose the right maintenance approach for each asset
As noted above, different assets require different maintenance strategies. Choosing the right approach starts with an evaluation of failure risk and asset criticality: How often do assets fail, and what are the impacts of this failure?
Equipped with this information, teams can select the best-fit approach.
- Predictive maintenance: High-value, production-critical equipment
- Preventive maintenance: Assets with predictable wear patterns
- Reactive/run-to-failure maintenance: Low-cost, low-risk assets that are easily replaceable
- Precision maintenance: Assets where alignment, calibration or installation quality directly affect reliability
Common gaps in maintenance strategies
Traditional maintenance strategies come with common gaps, such as:
- Overreliance on reactive maintenance
- Preventive tasks not tied to actual equipment risk
- Predictive tools implemented without workflow integration
- Poor CMMS data quality
- Disorganized storeroom or MRO inventory
- Lack of technician training
- No shared KPIs between maintenance and operations
Several warning signs may indicate that strategies are incomplete or ineffective. Two of the most common are cost and time. If the total costs tied to downtime and maintenance are increasing over time, maintenance strategies require reevaluation.
Increasing or decreasing times can also suggest maintenance issues. For example, if the mean time to detect (MTTD) failures is rising, companies may require more data-driven strategies to help pinpoint issues earlier. If the mean time between failures (MTBF) is decreasing, equipment is becoming less reliable, making preventive maintenance a priority.
Real-world example: Comprehensive maintenance in action
So, what does comprehensive maintenance look like in action? Consider a high-volume auto parts manufacturer struggling with frequent machine breakdowns, inconsistent parts availability and a growing maintenance backlog. To solve this issue, the organization creates and implements a comprehensive maintenance strategy.
First, teams rank critical assets and determine that two pieces of chassis assembly equipment represent the biggest potential loss if downtime occurs. Then, maintenance teams deploy predictive monitoring tools for this bottleneck equipment to pinpoint issues before failure occurs.
Next, the company standardized preventive maintenance schedules across all equipment to minimize planned downtime and ensure teams aren’t spread too thin. Finally, they optimize storeroom inventory to ensure commonly used parts are available and leverage CMMS and MES data to help plan predictive and proactive maintenance efforts.
Results include:
- Fewer emergency repairs
- Increased uptime
- Improved production planning
- Lower maintenance spend over time
- Enhanced asset lifespan
Take the next step toward a stronger maintenance strategy
Comprehensive maintenance strategies connect the methods, technologies, people, processes and resources to improve uptime, enhance performance and reduce total spending.
The best strategies, however, are not one-size-fits-all. There’s no single “right” way to build, implement and manage comprehensive maintenance strategies. Instead, teams need to evaluate potential risks, identify current facility needs and consider long-term organization goals.
This lays the foundation for comprehensive maintenance that delivers measurable, data-driven results and provides increased operational visibility for maintenance teams, operational staff, finance departments, and manufacturing executives.
ATS supports the development of comprehensive maintenance strategies informed by real-world performance data and backed by integrated predictive and preventive maintenance services designed around uptime, reliability and productivity.
Ready to move from disconnected maintenance activities to a more coordinated strategy? Evaluate your current strategy, identify downtime and inefficiencies and create a strategy that connects maintenance execution directly to operational performance. See how ATS can help.
References
Shepley, S., Morehouse, J., Hardin, K., & Dwivedi, K. (2025, November 13). 2026 manufacturing industry outlook. Deloitte Insights. https://www.deloitte.com/us/en/insights/industry/manufacturing-industrial-products/manufacturing-industry-outlook.html
