On this blog, we talked many times about the benefits of being proactive with your maintenance and how to make a switch from reactive to preventive maintenance.
Today, we will take a step back and have a hard look at corrective maintenance. We will discuss what is corrective maintenance, explore its relationship with reactive maintenance, show you how to efficiently incorporate corrective maintenance into your everyday workflow, and wrap things up with a few examples.
If someone was trying to convince you NOT to start a predictive maintenance program, they would probably tell you things like:
“It is just too expensive to implement; it is way too complicated; you don’t really need it…”
And while those might be valid concerns for some, they definitely aren’t stopping many organizations that are implementing it as we speak.
Preventative maintenance is a popular maintenance strategy because it brings a lot of benefits while, at the same time, isn’t particularly hard or expensive to implement.
That being said, preventive maintenance does have its downsides.
One of the most cited objections is that implementing it means you will be doing excessive maintenance. In other words, your technicians will spend time inspecting and maintaining assets that might not (yet) require that level of attention.
If we dig a little deeper, we will see that this leads to a bigger issue. When you are doing preventive work on an asset, in a lot of cases, that asset needs to be shut down first.
As nobody wants to shut down an asset during peak production times or for a maintenance work that doesn’t have to be done yet, let’s see how you can develop a maintenance schedule that takes into account those challenges and minimizes planned downtime.
As the fast-paced Fourth Industrial Revolution dawns, the effective maintenance and management of a facility are becoming increasingly important. Buildings are getting smarter, technology is getting more sophisticated, and this needs to be managed effectively to avoid business disruption and effectively leverage data insights. In fact, Navigant Research estimates that the smart building market will generate global revenue of USD$8.5 billion next year, up from $4.7 billion in 2016.
This is where having a dedicated facilities manager comes in. Facilities manager are generally responsible for ensuring everything to do with the physical infrastructure of the business is running as it should, as well as identifying areas for greater efficiency and cost-saving.
Over the last couple of years, you’ve probably seen terms like Industry 4.0, big data, machine learning, and Industry of Things jumping out from every other article.
But do you know what is their common denominator? For maintenance professionals, the one thing that connects all of it is predictive maintenance.
For better or worse, we operate in a capitalistic environment that forces us to always look for a competitive edge that will help us stay relevant in the market.
For many businesses, implementing a CMMS is one way to acquire that competitive advantage.
While there are a lot of different types of maintenance strategies out there, most discussions about which strategy you should implement come down to comparing reactive vs preventive vs predictive maintenance.
If you are or were a part of this debate, you’re probably aware that the answer isn’t always that obvious.
Limble has made it easy and affordable for any company to implement sensors for their maintenance program.
Technology is one of the main drivers of competition in the market. At Limble, we understand the importance of staying on top of the technological developments and trends in the maintenance industry.
Latest maintenance statistics show that 53% of facilities that participated in the survey, use CMMS to proactively track their maintenance operation.
As a part of the same research, 37% of the respondents said that they are planning to increase their investment in CMMS and EAM in 2018.
Maintenance has been around ever since the first caveman got tired of building a new spear for every other hunt and thought to himself: “I bet there is something I can do to use this one for a longer period of time” (albeit less eloquently).
While those times are long past, one thing that enabled us to come up with advanced technological solutions is exactly this type of proactive thinking.
As the technology evolved and we developed wireless networks, highly accurate sensors, and powerful software analytics, the stage was set for the maintenance world to start using advanced proactive maintenance techniques like condition based maintenance to monitor complex assets.
