Key takeaways
- TPM is a structured maintenance philosophy built on eight pillars, designed to eliminate equipment losses and put operators in charge of basic equipment care.
- OEE (overall equipment effectiveness) is the primary measure of TPM performance, tracking asset availability, performance, and quality.
- CMMS platforms and IIoT sensors support TPM programs by helping teams execute jobs consistently, record data accurately, and escalate issues quickly to the maintenance team.
A total productive maintenance (TPM) approach makes equipment reliability a shared responsibility across production and maintenance, rather than something the maintenance team handles alone.
While most maintenance managers know the acronym and can probably name a pillar or two, many aren’t sure how to get a TPM program to work effectively at their facilities or how to get their teams onboard.
Here, we’ve included five examples of TPM programs across manufacturing, food and beverage, logistics, pharma, and facilities, plus a practical way to get started with TPM without committing your whole plant.
What is total productive maintenance?
In a TPM program, operators take on routine care of the machines they run by cleaning, inspecting, and catching small problems early. This then helps technicians move away from reactive tasks and spend more of their time on planned and improvement work.
TPM is often used interchangeably with “preventive maintenance,” but there’s a difference. Preventive maintenance is a schedule (e.g., replace this bearing every 2,000 hours). TPM is an operating model that includes that schedule, plus the operator involvement, the training standards, and the measurement system that tell you whether the schedule is working.
The eight pillars of TPM
Each pillar below is part of the foundation for an effective TPM program. Most facilities start with one or two and expand from there.
- Autonomous maintenance: Activating operators to own basic care of their equipment, like cleaning, lubrication, tightening, and visual inspection. Many teams start by implementing this pillar.
- Planned maintenance: Scheduling PM work based on runtime, condition, or failure history.
- Quality maintenance: Eliminating the equipment conditions that cause defects, instead of catching defects at the end of the line.
- Focused improvement: Forming small, cross-functional teams who can attack one recurring loss at a time.
- Early equipment management: Using maintenance lessons from existing assets to inform how you spec and install new ones.
- Training and education: Equipping operators with the skills they need to inspect and technicians with the skills they need to diagnose issues properly.
- Safety, health, and environment: Removing the conditions that cause incidents.
- TPM in administration: Applying the same loss-elimination logic to purchasing, scheduling, and parts management.
Total productive maintenance examples across industries
Below are a few examples of what TPM looks like when it’s running well, including the pillar each scenario maps to.
These examples all share one thing: ownership of equipment condition sits with the people closest to the machine, and every observation gets captured somewhere the maintenance team can act on it.
Food and beverage: Operator-led care on a bottling line
Pillar: Autonomous Maintenance (operators owning basic care of the equipment they run)
Operators on a filling line run a 10-minute pre-shift routine, which includes wiping down the filler nozzles, checking lubrication points on the conveyor drive, and logging fill-head pressure readings. Anything out of spec becomes a work order before the line starts.
Discrete manufacturing: Condition monitoring on CNC spindles
Pillar: Planned Maintenance (scheduling work around condition and production rather than around breakdowns)
Vibration sensors on spindle bearings feed continuous data into a condition-monitoring platform. When the vibration signature goes beyond the set threshold, the system opens a planned work order with a couple weeks of runway, which is enough time for the team to order the bearing and schedule the swap during a planned outage instead of losing a spindle mid-job with parts on backorder.
Logistics and warehousing: Pre-shift checks on a forklift fleet
Pillars: Autonomous Maintenance and Safety, Health, and Environment (removing the conditions that cause incidents)
Every operator completes a digital pre-shift checklist covering hydraulic fluid, tire condition, forks, horn, and brakes. A failed item auto-escalates to the maintenance supervisor and flags the truck as unavailable, so nobody spends a shift on a unit with a hydraulic leak.
Pharmaceuticals: Quality maintenance on a tablet press
Pillar: Quality Maintenance (eliminating the equipment conditions that cause defects)
Statistical process control charts track tablet weight and hardness in real time. When variation trends toward a control limit, the team traces it back to equipment condition and corrects the machine mid-run instead of quarantining the batch after the fact.
The six big losses TPM targets
TPM breaks equipment loss into six categories. Below, we’ve grouped the losses under the overall equipment effectiveness (OEE) factor each one damages: availability, performance, and quality.
Losses that cost you availability
- Equipment failure: The asset breaks down and stops producing, like a conveyor drive gearbox that seizes mid-run.
- Setup and adjustment: The line sits idle through a changeover. Idle time stretches when the work is done by feel rather than to a documented standard.
Losses that cost you performance
- Idling and minor stoppages: The equipment halts for seconds at a time and an operator clears it without logging anything, so the underlying cause never gets fixed.
- Reduced speed: The asset runs below its rated rate, usually because someone dialed it back years ago to work around a problem.
Losses that cost you quality
- Process defects: The equipment produces scrap while otherwise running normally, typically because a tool has worn or a calibration has drifted.
- Startup and yield losses: The process produces scrap while it warms up, before conditions stabilize after a changeover or a restart.
How OEE measures TPM performance
The main objective of TPM is eliminating the losses described above. OEE is the metric you use to tell whether your TPM program is working, and here’s how you calculate it:
OEE = Availability × Performance × Quality
Let’s calculate OEE based on the bottling line we talked about in the first TPM example, which is rated at 300 bottles per minute and scheduled for 480 minutes.
Multiply the three: 0.83 × 0.89 × 0.98 = 73% OEE. Every point of the missing 27% can be tracked back to one of the six losses.
This equation helps with your priority list, too. An 83% score for availability against 98% for quality says you’ll benefit more from fixing the gearbox and the changeover standard before the capping head.
For reference, 85% is a commonly cited world-class OEE figure, and many facilities just getting started with TPM land below 60% once minor stoppages are counted.
How to start implementing TPM at your facility
TPM is a multi-year program at full scope, but measurable results from a well-designed pilot are achievable in a quarter.
Here’s a practical sequence to start your TPM pilot:
- Run a 5S assessment on your highest-impact production area. One area, not the whole plant. Skipping this is one of the most common reasons some TPM pilots go nowhere. 5S makes equipment conditions easy to see and makes routine care fast enough that people actually do it.
- Calculate current OEE on your most critical asset. This is your baseline. Include minor stoppages in this calculation.
- Identify which of the six big losses is costing you the most. Let the loss data pick your first pillar.
- Pilot autonomous maintenance on one machine. Train the operators, document the procedures, and keep the routine short enough to survive a bad shift.
- Run every TPM task through your CMMS from day one. If the pilot lives on a clipboard, you’ll have no data to justify expanding it.
How technology supports TPM execution
TPM was designed decades before mobile devices or connected sensors existed. So while the pillars for the framework haven’t changed, how you execute them has become easier.
- Mobile work orders and automated PM scheduling support autonomous and planned maintenance. Operators log observations at the machine instead of having to remember them until they get to a computer.
- IIoT sensors and real-time asset data support predictive and quality maintenance. Condition data replaces calendar guesswork on critical assets.
- Standardized digital procedures support training and education. The same inspection runs the same way no matter who’s working that shift.
- Multi-site dashboards support focused improvement and TPM in administration. You can now compare loss data across lines and sites.
Putting TPM to work at your facility
Every loss you eliminate makes the next problem easier to see, which is why facilities that stick with a TPM program beyond their first pilot tend to see results more quickly in the next areas they choose to work on.
MaintainX makes implementing a pilot practical for frontline teams, from automated PM scheduling to mobile-first work orders operators can easily use. In fact, customers report a 32% average reduction in unplanned downtime.
Sign up for free and see how maintenance teams are cutting downtime with a more structured approach to equipment care.
TPM examples in manufacturing FAQs
What are the six big losses in TPM, and how do manufacturing maintenance teams use them to reduce downtime?
The six big losses are equipment failure, setup and adjustment, idling and minor stoppages, reduced speed, process defects, and startup or yield losses. Teams use them as a diagnostic. By assigning lost production time to a specific loss category, you can see whether your capacity is going to breakdowns, changeovers, small jams, or scrap, and then pick the TPM pillar that addresses that loss instead of implementing all eight at once.
How long does it typically take a manufacturing facility to see measurable OEE improvements after starting a TPM program?
If designed well, a pilot on a single asset or line can show measurable OEE movement within a quarter. Plant-wide TPM maturity typically takes longer because a big limiting factor is operator adoption and skill-building, which requires a culture change.
How do maintenance teams track TPM performance beyond OEE in asset-intensive operations?
Common supporting metrics include MTBF (mean time between failures) and MTTR (mean time to repair) on critical assets, preventive maintenance task completion rate, the ratio of planned to reactive work hours, autonomous maintenance task compliance, and schedule adherence. These help explain why OEE is moving.
What is the role of a maintenance manager versus a machine operator in a TPM program?
Operators own basic equipment care (such as cleaning, lubrication, inspection, and early problem reporting) on the machines they run. Maintenance managers own the technical work operators are not trained or equipped for, plus the system around it: defining autonomous maintenance standards, training operators, planning PM around production, analyzing loss data, and prioritizing improvement work. The handoff point between the two should be documented explicitly, or it can become a source of confusion and potential conflict.
Senior Content Writer, MaintainX
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