manufacturing automation

The Data Manufacturing Automation Requires To Work Properly

Manufacturing Automation Requires Lots of Data To Work Properly

As crazy as it sounds, manufacturers that move towards more and more automation often start noticing a strange problem. They begin missing the benefits of non-automated processes and realize that they may have actually relied on manual human efforts more than they may have realized on the surface. For those that often read our blog, it may come as a surprise to hear us touting the benefits of anything manual vs. manufacturing automation. However, the truth is that simply automating manufacturing processes, cells, or machines does not inherently makes things better or more cost-effective.

Manufacturing automation requires good data to work properly, and in most cases, more data than you had before. This is because — whether you knew it or not — humans were actually collected data all along. They just weren’t sharing it with anyone or storing it anywhere…


Is Machine Learning In Manufacturing A Joke?

Is Machine Learning In Manufacturing A Joke?

One of the hottest buzzwords in any industry right now is artificial intelligence. In fact, trillions of dollars will be made by businesses over the course of the next decade who leverage this world-changing technology to disrupt their respective spaces. It offers the core solution to intimidatingly large data and complex ecosystems with revolving variables. It is being viewed by many as a silver bullet to existing industry problems. Unfortunately, these solutions mostly aren’t here yet – for any industry – and smart businesses are forced to proceed forward with caution.

machine learning manufacturing

The manufacturing space is no exception to this phenomenon. Artificial intelligence and machine learning in manufacturing are talked about at every industrial conference; yet implemented on of very few actual shop floors.

This ground swell would have you believe that this industry is on the verge of having every major manufacturer equipped with a fully-functioning smart shop floor; complete with Watson writing songs with Bob Dylan in the corner. Dare I say that this isn’t the case?


Getting Off of Paper In Manufacturing

Illinois manufacturer, Versatech, recently underwent a project to reduce their reliance on overtime work. A major component of the excess overtime labor that they identified was related  — directly and indirectly — to a reliance on paper tracking and manual processes. Getting off tracking and paper, and a reliance on spreadsheets would allow them to[…]

manufacturing downtime analysis

Why This Continuous Improvement Department Touts New Data

Versatech recently implemented a company-wide initiative aimed at using data to improve manufacturing performance and reduce reliance on overtime work. Their continuous improvement department was a part of this initiative and was able to successfully leverage their new centralized data to get off of paper and streamline processes. One of the biggest benefits for us[…]

Executive Evaluates Machine Data Project

Versatech recently sought to improve their ability to impact and enhance manufacturing quality, efficiency, and performance. Versatech CEO, Chad Hill, knew that further centralizing their manufacturing and machine data would allow the organization to improve operations and reduce their reliance on overtime work.  Verstech understood that their paper tracking system and reliance on manual tracking left[…]

Improving Manufacturing Production Using Analytics

Recently, we finished a comprehensive case study with Versatech – a full service engineering, manufacturing, and consulting company – who recently launched a company-wide initiative to leverage data more effectively to reduce overtime and improve manufacturing production and efficiency. In this article, we’ll highlight their manufacturing engineering efforts, approaches, and results inside of the overall initiative. Manufacturing[…]

Improving Complex Manufacturing Line Layouts

One of the biggest issues that manufacturers face is inefficiencies in their manufacturing lines. This looks like manufacturing cells with bottlenecks, unscheduled downtime, and inconsistent throughput. This is one of the first places that experiences lean manufacturing leaders look to cut costs and increase important metrics like OEE. The secret to reducing costs and improving[…]

Manufacturing Data Is Too Complicated & Tech Is Often Misleading

The world of big data, AI, machine learning, and the Industrial IoT has become extremely convoluted. These innovative new technologies are now marketing buzzwords. What’s more, manufacturers are often being misled, confused, or intentionally tricked about what these technologies can and can’t do for them… now and in the future. GE and IBM do a[…]