Mastering the Planned Maintenance Percentage Formula

Mastering the Planned Maintenance Percentage Formula

The planned maintenance percentage (PMP) is a key indicator that compares the number of planned maintenance tasks (i.e., scheduled maintenance) to all maintenance tasks. See also: Planned Maintenance Stoppage: A 2026 Guide for Facilities.

Any maintenance task that is scheduled or planned before asset failure is considered planned maintenance. PMP is expressed as the percentage of planned maintenance hours out of the total maintenance hours during a specific period.

[Planned Maintenance Hours / Total Maintenance Hours] x 100 = PMP

Together, CMMS software and PMP will give you the picture you need to accurately assess how your department is functioning.

How Does Knowing My Planned Maintenance Percentage Help?

Maintenance managers use PMP to measure progress towards becoming a proactive organization rather than a reactive one. You can benefit from knowing your PMP by using it to…

  1. Identify ways to reduce reactive maintenance
  2. Track the success of preventive or predictive maintenance strategies

The goal is to keep assets running and unplanned maintenance to a minimum by finding areas where changes can be made to reduce inefficiencies and equipment failure. That can lead to other benefits for the entire organization, such as…

  1. Reducing asset downtime
  2. Improving productivity
  3. Maintaining compliance with organizational policies and industry regulations
  4. Optimizing personnel costs
  5. Controlling the cost of maintenance

What’s the Right PMP for My Organization?

Your PMP will look different than another organization’s PMP. It also will vary by industry.

First, use your CMMS software to gather data on planned versus unplanned maintenance tasks. You can see where you are now. Then, after you make changes, compare your new PMP to your old one.

For example, MPulse customer Tony’s department averages about 1200 hours of billable maintenance activity per month. Last month, Tony’s team spent about 700 hours on planned maintenance, giving a PMP of just over 58%. His long-term goal is 70-75% planned maintenance, which is a best practice for his industry.

“But where it’s really helpful is when we compare last month to the same month a year ago,” he explained. “Our PMP for this same time period was closer to 30% last year. So, we know the changes we’ve made are starting to pay off.”

Data-Driven Decision Management

PMP is one step towards data-driven management, which simply means making management decisions backed by reliable data. With good data to work from, your organization can make good decisions, which will improve its ability to compete effectively and efficiently.

Instead of constantly putting out fires, modern maintenance operations can use CMMS data and PMP to forecast, manage, and monitor maintenance activities.

Learn more about PMP and how it can help you. Contact us. We’re just a phone call away.

Popular Categories

Latest Post

Organized maintenance workshop with accessible tools

5S in Maintenance: A Practical Guide for Facility Teams

Maintenance team scoring asset risk together

Risk-Based Maintenance: How to Prioritize by Risk

Condition sensors mounted on an industrial motor

Predictive Maintenance AI: How It Works and How to Start

Coordinator comparing purchase and work orders

Purchase Order vs Work Order: What Sets Them Apart

Related Posts

Learn how 5S applies to maintenance: what each pillar means for tools, equipment and work areas, how to sustain it, and how to measure results...
Risk-based maintenance ranks assets by failure likelihood and consequence. Learn the steps, a scoring example, real results and how a CMMS supports it...
Predictive maintenance AI explained: how machine learning forecasts equipment failures, which algorithms fit which job, what data you need and how to start...

Can't Find What Your Looking For?

Our team of experts is happy to assist with finding the maintenance management software resources you’re looking for!