All great organizations in the business of producing consumer products do so with the strict intention of offering their product at a certain standard of quality – one recognized and preferred by their loyal customer-base. The more stringently standardized and consistent they can produce their product, the more satisfied their target audience will be (and the greater their ability to retain customers).

Variability and deviation are concerning words to these organizations, and they’ve made it clear that their goal is to reduce such occurrences throughout their production efforts. But not just that. Controlling product quality at scale is a fantastic way to represent your brand and set an exceptional precedent within your market. However, if your production processes are focused on yielding a specific standard of quality, but have not been honed in to also reduce waste – there’s the real potential (and probability) for money to be left on your factory floors.

There are so many ways variability can impede your efforts. As stated above, there can be variability in quality output. However, there can also be variation in asset functionality, in process conditions, and in throughput. What’s more, a lack of discernible variability in energy consumption can cost millions. These are all variability issues industry has been hampered with for decades - but why? The reason is that, prior to now, there was no practical way to cut through your wealth of data and drive straight to the insights that will allow your problem-solvers to gain control over variability.

The saying goes – “quality over quantity”. But, what if you want both? What if you expect your products to maintain a specific standard of quality, and you want as much as possible of what you produce to meet that standard? Waste is a challenge that any operation executing production processes will have to overcome. Fortunately, it’s more than likely that your in-house innovators are keen to resolve the problem of waste. All they need to accomplish this is a solution that will give them a leg-up when fending off the information overload of your existing data stream, and allow them to accurately identify adaptations to govern levels of variability.

By implementing a comprehensive Predictive Operations Platform, like TwinThread, your subject-matter experts will be empowered to cut through the informational noise and quickly identify the insights that will allow them to action impactful change now. With the insider-information your data is capable of providing (when helped along by predictive analytics), it will be clear what adaptations need to be made to ensure quality of product is matched by quantity produced.

Get started with TwinThread now and watch how fast your waste disappears.


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Sheila Kester
Post by Sheila Kester
August 11, 2020
Sheila Kester is the current Chief Operations Officer at TwinThread. Having accumulated over 20 years of experience in technical operations and customer experience at successful software companies like Wonderware and GE, Sheila has a proven track record as a central catalyst for driving organizational change, commercial excellence, and sustaining exponential growth. A tech architect through and through, Sheila exited her role in 2015 as a leader in GE’s global commercial operations to build her successful tech consultancy firm, Commercial Insights, before joining TwinThread in 2019.

Sheila’s management philosophy produces results. By enforcing “just the right” amount of infrastructure, she enables teams to work towards the ultimate, shared goal of the highest quality customer experience.

She’s a proud graduate of Boston College (Business and Computer Science) and Babson (MBA 2019), a native Massachusettsan, and a fierce advocate for women in tech.