Manufacturers use SensrTrx Manufacturing Analytics to easily collect actionable data from the shop floor and display it in dashboards that anyone can use.
SensrTrx automatically collects data from machines, contextualizes it, and delivers it in actionable dashboards.
Improve OEE, downtime, quality, scrap & more by using simple centralized dashboards that only take hours to set up.
The software & hardware – track your machines on customer shop floors.
See how Versatech used SensrTrx to increase OEE by 30% and significantly cut their overtime costs in this case study.
SensrTrx is an affordable manufacturing analytics platform designed to collect and display actionable data from the shop floor. Our solution helps manufacturers easily deliver more efficient processes, improve quality, and assert greater control of operations. Using this data, manufacturing businesses can increase machine availability, productivity and quality to directly increase profitability without complex software or the help of IT.
Reduce scrap rates and improve operations
Automatically calculate and review OEE
Quickly identify bottlenecks & other issues that affect performance as they happen
Track & identify costly downtime and change over
Imagine, the founder of a manufacturing data analytics company telling you about how analyzing your machines and analyzing your manufacturing data could ultimately end up really bumming you out? That’s exactly what I’m prepared to do.
It’s true, I speak as an expert at a lot of major manufacturing events and the “data” is overwhelmingly telling me this is the case (data = what good manufacturers tell me).
Most manufacturers start their journey towards better data by saying, “We just need to know this simple handful of things”. The theory being that those simple things would provide some pretty dramatic improvements.
Downtime is one of the biggest problems in manufacturing. It is costly and damaging to all manufacturing businesses.
Downtime is caused by planned maintenance, tool breaks, adjustments and even bathroom breaks. Every minute a manufacturer’s machine isn’t up and running, there is a chance that revenue is lost. What’s more, unplanned downtime can be debilitating to manufacturers that rely on performance and quality to stay competitive in their niche.
Understanding what disrupts machine uptime is critical to preventing machine downtime and improving lean manufacturing processes.
If you’re an original equipment manufacturer (OEM), it’s easy to see why monitoring customer machines offers some big benefits for sales teams. However, many of the original equipment manufacturers we work with are actually most excited about the customer service attributes they’ve gained by being able to monitor machines in customer plants.
Below, I’ll run through how to monitor machines and provide better service to customers. I’ll also highlight how this can become an additional stream of revenue and how we’ve seen OEMs structure these kinds of models in the past.
Original equipment manufacturers are essentially selling a mixture of three things to their customers. These three things are what allow them to stand apart from their competitors and help them ensure that the market for their machines isn’t viewed as a commodity marketplace. These are…
Machine Data Insights On Downtime Only Matter When This Happens… You have machines on your plant floor. Sometimes they are up and sometimes they are down. Hopefully, when you expect them to be up, they are up and performing the way they are supposed to; meaning performing as expected, producing an acceptable amount of scrap,[…]
SensrTrx Has Incredible 2017: A Year In Review 2017 proved to be an extraordinary year for SensrTrx. On the heels of an unprecedented 2016, that concluded with an Arch Grant Award from the city of St. Louis and the state of Missouri, SensrTrx saw year filled with financial growth, internal expansion, and acclaim from the[…]
Manufacturers are looking at their data closer than ever before. The accuracy, volume, and context have never been more valuable. Data has the ability to transform the businesses of almost every discrete manufacturer. Having the right data on production processes is the most effective way to reduce downtim and increase throughput. So needless to say, manufacturers are looking for solutions that help them acquire and contextualize this data.
This means manufacturers are looking for systems that can affordably collect and analyze all of their machine data. Today, we are going to compare Microsoft Power BI vs. SensrTRx Manufacturing Analytics.
3 Popular Manufacturing Projects In 2018 We are at a strange time in manufacturing. The manufacturing industry is changing rapidly. The advent of new technologies and the availability of large amounts of valuable new data is leading all of us down a path of eventual digital transformation. However, most manufacturers aren’t there yet, and most[…]
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…
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.
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?