Preventative maintenance has been the norm since the early 20th century, but it’s not the only option anymore. Now, with the advancement of technology a new style of maintenance has emerged–predictive maintenance. The question that presents itself is no longer as simple as “when should we schedule our maintenance?”, it’s now, “what’s the most efficient way to do maintenance?”.
With that being said, in this article we’re going to discuss the differences between predictive and preventative maintenance so that you can make an educated decision for your enterprise moving forward. Let’s begin with an overview of each style.
Preventative maintenance is a regularly scheduled style of maintenance. The goal of preventative maintenance is, as the name suggests, to prevent equipment failure. Manufacturers generally recommend certain time-frames that are best suited to maintain their equipment in hopes that owners of the equipment will comply. There are three styles of preventative maintenance tasks that come up:
As you can see, this style of maintenance far exceeds reactive maintenance, which is the style of maintenance completed only when equipment performs poorly or breaks, because of regular scheduling. However, with the global evolution of technology, our ability to access data and optimize solutions is better than ever. With that being said, there are more efficient ways to manage maintenance now, and they fall under the umbrella of predictive maintenance.
Predictive maintenance is the practice of using data to know when the appropriate time to perform maintenance actually is. This proactive approach goes a step further than preventative maintenance because it uses technology to detect anomalies. Detection of these anomalies in turn allows for more accurate timelines for maintenance.
This simple step forward towards more data-driven maintenance has a massive impact on businesses and the world in real-time. The goal of predictive maintenance is to do as little maintenance as possible without falling into the reactive maintenance category. By using data to determine the best time to do maintenance and minimize the frequency, the top three benefits include:
We see evidence of these benefits daily. Our software has been shown to save at least 17,000 tons of carbon to date, while providing transparent and efficient Smart building management to our users. Data-driven maintenance is the way of the future not only for businesses, but also for the global impact it has. Digital, low-carbon buildings are becoming more common, and predictive maintenance is an important aspect of these buildings.
If you’re interested in making the change from preventive to predictive maintenance, then there are two paths you can go. The first is to implement your own predictive model. For example, if you are able to predict maintenance times manually, then this may be the option for you. To go this route, you’ll need to prepare extensively.
Your organization will need to track old equipment history, review records in detail, look at potential regulations and workplace safety, establish definitions and concepts for your predictive model, create a computerized maintenance system of some sort, and much more.
Alternatively, if your organization would prefer to skip the unknown steps towards implementing predictive maintenance and get accurate guidance, reach out to us at Switch Automation! We’re experts in the field and can help guide your organization towards a more data-driven, low-carbon maintenance model.
Talk to a smart building expert to learn more about how Switch helps portfolio managers reach their sustainability goals.
5 articles found
Switch celebrates Wear It Purple Day 2022—an international movement of expression, celebration and support.
A good building management app helps commercial property managers streamline operations, save time and cut costs. Select the right one by following these tips.
With the onset of climate change to drive the global sustainability agenda, energy consumption in the educational sector is both an environmental and financial concern for schools and universities. How can universities leverage the adoption of intelligent building technology to improve energy efficiency?
Get to know our Switchers as we share our journeys in the smart building industry and what it’s like working at Switch!
With energy prices at a multi-decade high and increased societal pressure to lower carbon emissions, buildings must optimize their energy efficiency to stay relevant, stay profitable, and combat the global climate crisis. Can you afford the cost of inaction?
5 key steps to futureproofing buildings with investments that will deliver value and prepare your organization for further top line growth.