In the trying times, the best way to keep costs at hand is to make the most out of existing machines.
Take it from us: manufacturing executives all over the world are looking for ways to squeeze more out of the machinery they have sitting on their factory floors. And it sure makes a lot of sense, as those machines have grabbed quite a bit of the available capital, and they are ultimately the resources that will create the biggest chunk of the value any factory or process operation will put out.
Naturally, there are a lot of means to the end of prolonging the mileage these machines can achieve. Training the operators in proactive ways to use the machines is certainly important. Using only the best kinds of spare parts is naturally going to contribute to the longevity as well.
We are not experts in neither of these two, so in this post we would like to present some ideas on how to use DATA to push machines way beyond their natural limits.
If you’re anything like most of the manufacturing professionals we’ve talked to, you are already gathering data from your machines. This is good!
However, due to possible difficulties in data flow and architecture, you might not be fully aware about the practical possibilities available to you.
As you can probably guess, we talk to lot of professionals in this field. Here are some of the most common problems we’ve seen with regards to using data to hack the lifespans of machines.
1. Not fully understanding the value of data
If we would be given a cup of coffee every time someone is super skeptical about the value of data, we would have pushed Starbucks out of the business years ago. Thinking data is worthless might save people from having to deal with a new topic, but it’s really doing them a HUGE disservice over the years – especially as competitors aren’t necessarily so ignorant.
2. Not having proper architecture for data in place
Especially in the case of multiple machine operations, data is often left at the mercy of the machines themselves. This was understandably the best option when there were no practical means to make use of the data machines produced. However, this significantly slows things down when leaders want to tap into the benefits of data.
3. Not knowing how the data fits into overall strategy
This is closely tied to the point number 1, but it’s not quite the same. Sometimes people grasp that data is valuable, but the insights don’t find their way into strategy and practical applications. This takes training in thinking, but also access to proper technological solutions
So, making use of the data you’re already producing is in our opinion the fastest way to fatter profits. And if you’ve read this far, utilizing machine data is most likely something you’re interested in. Right? If that’s the case, allow us to offer something that will help you turn the hopes into practical results.
You see, we’ve been secretly developing a full-blown SERVICE for predictive maintenance. Service is such a novel word in this scene as to deserve to be written in all caps. Here’s how it works…
Smart executives want to get a taste of benefits before they commit to bigger investments. This is to be expected. We have, therefore, gained great popularity with our service, which removes the need for big capital investments. Also, we’ve worked really hard to make everything be as close to plug ‘n play as possible. This means that we’ve been able to be up and running faster than through any other means.
We are currently working behind the scenes with some of the biggest players in manufacturing and process industries, and our service is ready for wider audience in just a while. Currently, we only accept clients through application.
If advanced analytics about predictive maintenance is for you, make sure to fill out our contact form, and we’ll be in touch with you shortly.
Comments or questions? Hit us up in the comments.
COO, Service Delivery
+358 40 550 2524
Fredrikinkatu 61 a 6. krs