Easily collect actionable data that allows you to increase availability, uptime, and manufacturing production.
SensrTrx collects data from machines, contextualizes it, and delivers it in actionable dashboards that allows manufacturers to increase machine uptime.
Find hidden capacity and get control of your schedule. SensrTrx instantly gives you the data needed to deliver on time to customers.
SensrTrx users can proactively improve quality, throughput, scrap rates, and more. Objectively understand OEE inside your business and influence the things that matter most.
SensrTrx also provides solutions to Original Equipment Manufacturers (OEMs). Monitor machines sitting on customer shop floors.
SensrTrx is an affordable manufacturing analytics platform designed to collect and display actionable data from machines. Our solution helps manufacturers easily deliver more efficient processes, improve manufacturing performance, 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.
Better understand when the machines are up and when they are down. See why!
Automatically calculate and review OEE. See what's really happening.
Quickly identify bottlenecks & other issues that affect performance as they happen
Track & identify costly downtime and change over issues as they happen in real-time.
Manufacturing Data Is Worthless Without This… Sort of a salacious title, right? It’s true. Manufacturing data is worthless without one simple thing. Every year I watch manufacturers ignore important issues and spend hundreds of thousands of dollars trying to solve manufacturing challenges using data, but still, completely miss this important component. What’s more, this data[…]
You don’t need all that manufacturing data.
To some, collecting any kind of machine data from the manufacturing floor can seem complex. I hear actually this a lot. “All data collection technologies have all these features and we are too small or our processes are too simple”. This is a really common outlook.
Other people tell me that these same kinds of data collection technologies and methods are too simple. “We need SPC (statistical process control), ERP integration, MES functionality, etc.” .. the list goes on.
So, which is it? Are some manufacturers just way behind; while others are way ahead of everyone else – technology developers included?
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[…]