Producing Too Little, or Too Much

Producing Too Little, or Too Much

Published on July 8th, 2020

Submitted by Luis Morinigo, VP Business Development & Strategic Partnerships at TwinThread

Your operation has a quota to meet, based on the market demand for the product you produce. Targeting that quota is one thing – matching it is another. As much as it’s disastrous to come up short, it can be equally costly to produce more than is needed. So, how do you achieve operational accuracy? How can you build confidence that, no matter the required yield, you can meet it with precision each and every time?

The answer is operational insight. You can get this insight one of two ways. The first is learning from doing production runs over and over again, scouring for the sweet spot until you find it. This is, of course, inefficient and slow. What’s more, it won’t be scalable. You’ll only have a grasp on the sweet spot for those specific conditions. If production needs change, you’ll be back to square one. Fortunately, there’s an alternative approach – implementing a Predictive Operations Platform that offers an easy-to-use predictive throughput application. Instead of tediously testing for the sweet spot, at the expense of operational efficiency in the now, your domain experts can cut through your wealth of data to pinpoint the key insights that will allow them to optimize settings. These small tweaks that your subject-matter experts make, by drawing on predictive insights, result in accurate quantities out the door.

So, not only are you honing your throughput at great speed, but everything you learn can be scaled – allowing you to optimize operations across your enterprise. No more tinkering to slowly find out the best methods for producing what you need. With a predictive throughput application tailored to your expert team of innovators, the idiom “trial and error” will quickly fall out of use.

If you’d like to learn more about what a comprehensive Predictive Operations Platform looks like and how easy it should be to implement and use, get started here.