Quality is based on a series of facts and statistics collected and analyzed. To produce a quality product—and continue producing a quality product—you need data.
At the end of the day, nothing matters more than customer satisfaction. Fundamentally, this sounds quite simple; make the customer happy, and all is well. Keeping customers happy and loyal to your brand, however, is not as easy as it sounds.
Data collection on the factory floor can be a challenge. Even the smallest enterprise can generate massive amounts of data, and collecting this data is only a first step on the path to a successful IIoT project.
Not long ago, IT integration projects were an intimidating task due to the historic number of failed projects. This is not the case today because the technology exists and when combined with proper implementation they are very successful.
Data isn’t everything. But it’s perhaps the main thing standing between you and a successful project. Continuous improvement takes effort, but more than anything, it takes solid information and analysis. In other words, wouldn’t it be more helpful to use statistical process control to find out where your process is going wrong, rather than just a hunch?
Vision systems provide peace of mind when it comes to production quality but they can also generate valuable data that tracks process variability. Diving into the world of vision data can seem overwhelming, but with the right tips and tricks you can set up a system to work for you.
When several devices need to be accurately sequenced in a machine vision system, the usual solution was to program a PLC to generate the necessary signals. However, a PLC is a significant investment and requires specialist knowledge to program the Relay Ladder Logic.
“Work smarter, not harder.” It’s a term often heard by just about anyone who has ever set out to perform a task. It can be found on inspirational posters and do-it-yourself home repair manuals as well as articles on life management and corporate handbooks.
The digital age promises data driven decision-making that monetizes data in ways never seen before. Is your company prepared to leverage all of its data to its full benefit? Does your company recognize data as a strategic asset to be used to strengthen competitive advantages?