How do we ensure we’re focusing on the true essence of the challenge at hand when looking at challenges on the factory floor?
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.)
Let’s apply this to IIoT / Data-Driven Manufacturing, something we do a lot of…
Even though IIoT is “high-tech” and can sound complicated, at its essence it isn’t. IIoT is simply a set of technologies combined together to solve valuable business challenges.
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.
To keep yourself grounded use a simple and systematic, step-by-step process to apply IIoT 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.
A simple 5-step process applied to IIoT can save so much time, money, and also frustration.