How To Improve Equipment Reliability

Vicki WalkerErin Noble
Written by
Matthew Borst
,
Edited by
Vicki Walker
,
Reviewed by
Erin Noble

published 

May 4, 2026

Key Takeaways

  • To improve reliability, manufacturers must leverage preventative maintenance, predictive maintenance, root-cause analysis, and standardized work processes.

  • Building a foundation on scheduled preventive maintenance and predictive technology enables manufacturers to know when a machine will fail.

  • Root-cause analysis helps maintenance teams break the cycle of repeated repairs by addressing the underlying cause of equipment failures.

  • Reliability-centered maintenance (RCM) optimizes maintenance tasks based on specific failure modes and consequences.

What Does Equipment Reliability Mean?

Equipment reliability is the probability that a piece of machinery will perform its required function without failure, under specified operating conditions, for a defined period of time. Poor reliability is a significant cost driver, so most manufacturers strive to minimize unplanned outages with an effective equipment reliability strategy.

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Strategies for Improving Equipment Reliability

These four strategies form the core of a modern equipment reliability program, moving the needle from guessing when a machine will fail to knowing exactly how to prevent it.

1. Establish a Preventive Maintenance Schedule

Preventive maintenance (PM) involves performing maintenance tasks at regular intervals (time- or usage-based) regardless of the machine's current health. Its purpose is to replace worn components and lubricate moving parts before they reach the end of their expected life cycle. 

While advanced technologies like AI and IoT sensors are exciting, achieving high reliability is impossible without mastering the basics of scheduled care. A PM plan is best for equipment with age-related failure patterns where wear and tear are predictable.

2. Leverage Predictive Maintenance Technology

Predictive maintenance (PdM) uses real-time data to intervene only when a failure is imminent. PdM uses condition-monitoring technology, such as IoT sensors, to detect signs of failure before they are apparent to a human.

PdM monitors a machine's operating state while it is running at full capacity, so maintenance is performed only when required. This approach eliminates unnecessary maintenance and catches failures that a time-based PM schedule might miss.

3. Drive Root-Cause Analysis

Root-cause analysis (RCA) investigates problems to identify the underlying cause, determine appropriate solutions, and prevent recurrences. While PM and PdM focus on when to maintain, RCA focuses on why a failure happened. 

Without RCA, maintenance teams are often trapped in a cycle of repairing the same failure over and over. With it, maintenance and production teams can design out unreliability and increase mean time between failures (MTBF). 

4. Standardize Work and Training

By standardizing work and training, manufacturers teach every operator and technician — regardless of their experience — to interact with a machine the same way. Equipment reliability is as much about people as it is about machines, and transforming unwritten knowledge into standard operating procedures helps ensure that every machine is serviced to the same high standard.

Standardized training is also the backbone of total productive maintenance (TPM), which teaches machine operators to perform basic reliability tasks, such as cleaning, inspection, and lubrication, and detect signs of abnormal conditions. If a failure occurs, technicians have a roadmap to repair it without spending time troubleshooting. This helps improve machine availability and decrease mean time to repair (MTTR).

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Reliability-Centered Maintenance (RCM)

Reliability-centered maintenance (RCM) is a systematic process for determining the specific maintenance requirements of any physical asset in its operating context. Rather than applying a one-size-fits-all approach, RCM focuses on preserving system functions, rather than just the equipment.

The seven steps of the RCM process are:

  1. Define functions: What does the equipment do, and what are its performance standards?
  2. Identify functional failures: In what ways can it fail to fulfill those functions?
  3. Determine failure modes: What causes each functional failure?
  4. Describe failure effects: What happens when each failure occurs?
  5. Evaluate failure consequences: Why does each failure matter? (e.g., safety, environmental, or economic impact)
  6. Select proactive tasks: What can be done to predict or prevent the failure?
  7. Identify default actions: If you can't find a proactive task, what must be done? (e.g., redesigning the part or letting it run to failure)

Why RCM Matters for Reliability

Reliability-centered maintenance is critical for developing a maintenance strategy because it shifts the focus from keeping machines running to preserving system functions. This drives multiple reliability benefits, including:

  • Cost efficiency: It prevents over-maintaining assets that are not critical to production.
  • Safety and compliance: It prioritizes failures that could lead to environmental or safety hazards.
  • Asset longevity: By understanding the specific failure mode, maintenance teams can apply the right fix at the right time.

RCM directly affects an asset's availability,  a core component of overall equipment effectiveness (OEE). Availability (A) is calculated using the mean time between failures (MTBF) and the mean time to repair (MTTR):

By using RCM to increase MTBF and decrease MTTR, manufacturers can significantly stabilize their production output.

The Bottom Line

Building a truly reliable manufacturing operation requires a balanced blend of data-driven technology, standardized processes, and a proactive team culture. By moving away from reactive firefighting and embracing strategies like RCM and predictive maintenance, you can transform your shop floor into a center of predictable productivity. The journey toward zero downtime is a marathon, but the right tools make the path clear and the results sustainable. See how Redzone can transform your shop floor reliability today.

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about the author

Matthew Borst

Matthew Borst is the Automotive and Industrial Product Marketing Strategist at Redzone, where he leads the company's automotive and industrial manufacturing marketing strategy.

Frequently Asked Questions

What are the biggest risks for extended equipment breakdown?

The biggest risks for extended equipment breakdown often stem from a lack of visibility into critical asset performance and financial impact. Knowing which machines are the primary sources of downtime and the hourly value of that lost production helps manufacturers prioritize repairs.

How can manufacturers move from reactive to predictive maintenance?

Manufacturers should start by mastering maintenance basics, such as establishing consistent preventive maintenance schedules for assets with predictable wear patterns. The next step involves implementing condition-monitoring technologies, like IoT sensors, which detect early signs of failure that are invisible to humans while the equipment is still running at full capacity.

How do manufacturers identify the number one source of downtime?

Manufacturers must move away from anecdotal evidence and utilize a data-driven approach that systematically tracks performance by area, line, and machine. This analysis should reveal the exact component responsible for the most significant losses.

How do companies eliminate undocumented knowledge?

Eliminating tribal knowledge requires formalizing the undocumented expertise of experienced staff into accessible, standardized documentation that any team member can follow. Standard operating procedures (SOPs) and visual checklists outline exactly how to operate and maintain machinery to a high standard, regardless of a technician's experience.

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