The difference between preventative and predictive maintenance

Although upon first glance preventative maintenance and predictive maintenance seem much of a muchness, they are in fact two very different approaches to service management. Both aim to maintain business as usual but predictive maintenance uses a far more intelligent process to achieve this.

We’ve all heard the old adage “if it ain’t broke, don’t fix it” but have you considered the cost of this simplistic approach? Studies show that reactive maintenance can be 20 times more expensive than planned maintenance.

If that’s not bad enough, consider the actual cost of having a machine down. In some industries, each minute of stopped production can cost an eye watering £18k per minute!

Aside from the cost, you also have the inconvenience associated with downtime. Whether it is an air conditioning system that is out of action or a machine in a production line – the downtime can have severe consequences and puts a great deal of pressure on those responsible for getting it back up and running.

The repercussions associated with reactive maintenance have led many companies to seek a preventative approach; one where downtime could be managed by replacing parts and carrying out regular services to keep business ticking along as normal. A modern day car is a prime example; after X amount of miles you receive a warning that your car needs a service and the service is completed in an attempt to prevent your car from breaking down. This is preventative maintenance.

A short-sighted view

Preventative maintenance does, without doubt help reduce reactive repairs but it is a short sighted outlook. Take another example; an air conditioning system – an HVAC installer recommends the filter is replaced every six months to maintain performance. It would be foolish to heed this advice but the bi-annual replacement does not take into consideration the actual usage. While one company may use their air conditioning 24 hours a day, another may only use it for 6 hours a day. This difference is vast and yet unconsidered.

A long-sighted view

Preventative maintenance has undoubtedly played its part and for many years it was the best option available. However, today, thanks to technological advances, there is a new intelligent, considered and cost effective approach to maintenance; predictive maintenance.

While preventative maintenance is triggered by time or set events, predictive maintenance is based on actual condition. Sensors and IoT (Internet of Things) enable maintenance organisations to predict failures before they even happen. The sensors collate data from within the asset – such as temperature, water detection or door open/close – and feed this in real-time to a centralised dashboard held in the cloud. When an asset starts to perform outside of its acceptable limits the predictive maintenance software will create an alert.

Taking predictive maintenance to the next level

Being alerted of an imminent failure is a huge advance on preventative maintenance, however the issue still needs to be resolved with minimal cost or disruption.

Oneserve recognised that unless there is a robust process in place, once an alert is raised the costs associated with predictive maintenance could quickly spiral.

Oneserve infinite gives predictive maintenance the support network it needs to deliver an exceptional customer experience that minimises your operating costs. Once infinite identifies a problem, our software will automatically schedule an engineer with the right skills and parts to attend site. From the point of a problem being highlighted to the issue being resolved, the entire process is efficient and progressive.

Furthermore, Oneserve infinite is constantly learning. It doesn’t just solve a problem, it uses that problem to prevent future issues from occurring. Using deep learning algorithms Oneserve infinite records and interrogates the contributing factors that have led to each maintenance task. This interrogation enables the software to identify trends and alert you when a similar “problem” scenario is first scheduled. The immediacy of this information allows you to nip the problem in the bud before it has cost you any money or disruption.

The AI (Artificial Learning) used by Oneserve infinite is vast and due to its appetite for data, the more you use it the more benefit it will bring. Discover more about Oneserve infinite here to see why you need to adopt a predictive approach to maintenance.