What’s the difference between preventive, proactive, and predictive maintenance?

One of the most damaging occurrences within an organization is downtime caused by asset malfunctions. Downtime causes unplanned expenditures, re-directing valuable staff time to deal with the issues, and can disrupt operations to the point of missed deadlines, lost revenue, and even damage to the company’s reputation. Implementing and running consistent maintenance reliability procedures is the best way to ensure that downtime is minimized or even eliminated due to smooth communication between departments.

Maintenance reliability revolves around three different types of approaches, preventative, proactive, and predictive, rather than the outdated “it’s broken, so I’m going to fix it” mentality.

But what is the difference between preventative, proactive, and predictive maintenance?

Let’s dive into what these terms mean, and how communication utilizing the right terminology within context can help your organization.

How the 3 p’s of maintenance affect your organization’s overall performance

Regular predictive and preventative maintenance actually create the third type, proactive, because you are intrinsically utilizing methods that will help you avoid future machine breakdowns. Thus, these three methods work together to be an overall cheaper form of maintenance as you won’t be dealing with costly aftermaths such as equipment replacement and lost revenue.

Breaking down the 3 p’s of maintenance reliability

Preventative maintenance is a routine inspection of your equipment to watch for small problems and fix them before major ones develop to ensure it lasts between planned servicing without failure.

For example, if the manufacturer data suggests that certain parts have a finite lifespan, the organization’s maintenance team can plan to replace them without incident before their due date and potentially crash the whole system. This method also ensures parts are pre-ordered and proper man hours are allotted.

Predictive maintenance is similar in that it can help determine the condition of in-service equipment to estimate when maintenance is required. This approach may be slightly more cost-effective, as repairs and replacements are performed only when required, and not before.

MAINTelligence™ utilizes a customized, multi-tiered approach to asset management, maintenance scheduling, and all condition-based maintenance technologies. Rooted in asset management, our advanced applications are tailored for equipment health assessment for a completely integrated and automated equipment reliability system. Such information can be used to avert problems.

For example, based on past experiences, you know that a particular brand of motor is likely to fail within a known time period if the temperature increases past a certain threshold or the rate of change increases. Armed with this knowledge, you could schedule the repair or replace the item within that known timeline.

A reliability-focused Computerized Maintenance Management System (CMMS) MAINTelligence™ creates a framework that incorporates the CMMS aspects of collecting costs and allocating resources with a focus on reliability. Thus, MAINTelligence™ is the ultimate management tool for predictive and inspection-based maintenance data, along with standard corrective and preventive maintenance work orders.

Proactive maintenance utilizes current and historical data analytics to identify the early onset of problems that can lead to asset failure. This type of maintenance allows maintenance staff to make inferences that can assist staff in identifying and managing corrective actions to avoid costly breakdowns.

Interested in seeing how MAINTelligence™ can help you proactively manage your assets? Book a demo today.