How do we ensure we’re focusing on the true essence of the challenge at hand when looking at challenges on the factory floor? Manufacturing IoT can help.
The answer is to “get back to the basics”.
Whether it’s little league baseball or the major leagues, or any other sport for that matter, you constantly hear the coaches talking about the basics…get back to the basics on hitting stance, throwing, etc. The same should be said for business and, specifically, manufacturing.
In many meetings I’m involved in where we’re helping a manufacturer solve operational efficiency challenges to help them succeed and grow, I’m often revisiting this simple 5-step process.
- Business Challenge
- Business Hypothesis
(More details on each step can be found here.)
This is essentially the entire process simplified.
Let’s apply this to Manufacturing IoT / Data-Driven Manufacturing, something we do a lot of…
Even though manufacturing IoT is “high-tech” and can sound complicated, at its essence it isn’t. Manufacturing IoT is simply a set of technologies combined together to solve valuable business challenges. It may look like information-overload at times, but a structured plan around the right tools makes it easy.
We often use these technologies to solve challenges around excessive unplanned machine downtime, machines run to failure due to lack of getting those early P-F Curve signals, or they’re trying to figure out why a machine or cell isn’t producing as much as it should. This is one of the biggest problems for manufacturers and one that definitely needs to be addressed. 30 years ago running your machines into the ground was a common practice. Today there are so many constant technological advancements being made all the time. Using them effectively in the manufacturing industry will help you to stay on top of the competition.
To keep yourself grounded use a simple and systematic, step-by-step process to apply Manufacturing IoT to solving business challenges. You can get a PDF of the infograph here.
We have seen situations where companies don’t do this. To solve challenges like those listed above they first select some certain technology and try to pull as much data as possible. They’re quickly overwhelmed with data but have absolutely no clarity on what to do with the data, what challenges they’re attempting to solve, and why. They end up getting wrapped around the axle, waste time and money and don’t accomplish anything valuable.
This is why we need to use a simplified process. Yes, manufacturing IoT systems are immensely valuable. They are completely changing the industrial manufacturing landscape. As these technologies become more readily available to small-medium manufacturers, you need to learn more about how to use them. The data is only valuable if you know how to use it. There is no one way to look at and analyze the data. Every business will operate differently, and need to set specific goals tailored to them.
Determining the causes of manufacturing problems is a headache. The solution is, of course, implementing an IIoT system to eliminate the guessing and headache. So make sure that you are using the tool properly to start eliminating problems, make confident data-driven decisions with the data now available, and stick to the structured 5-step plan to keep it simple and goal-oriented.
A simple 5-step process applied to IIoT can save so much time, money, and also frustration.
If you have any questions or want to get in touch, contact us at any time. We are more than happy to answer your questions.
For more information, check out our other blog articles. We are an IIoT based company with an abundance of helpful information on topics related to the manufacturing industry.