This is where machine learning (ML) comes to the aid of manufacturers. ML is a subset of AI (artificial intelligence) and refers to the ability of machines to learn from data without being explicitly programmed. It is a method by which machines improve their performance over time using data generated during production. Machine learning algorithms detect patterns and trends in data, allowing them to make predictions or decisions based on this information.
ML is a popular topic at the moment and many companies have started implementing programs centered around it. The big question is, how many companies are ready?
How machine learning works and the role of MES in it
To answer that, it’s important to understand that ML first works with pre-existing data. If you feed the system bad data, you are not going to like the results. After all, the system is only going to be as accurate as the data it’s given.
When our clients discuss their desire to implement ML solutions, it’s critical to first establish that their current systems provide accurate, real time data from the production process. Operations, performance and quality data are foundational elements regardless of how they are collected.
I still believe strongly that MES is relevant today. In fact, it’s more relevant than ever. While the focus is shifting rightfully to next-gen AI and ML solutions, we can’t lose sight of the day-to-day operations of a manufacturing plant and how to harness its data. MES fits well into the overall software architecture as a key component of any advanced manufacturing data strategy. It’s critical that any digital manufacturing strategy defines how data will be collected from the shop floor equipment, systems and humans. Skipping this step will potentially negatively impact any other initiative.
This is why, without MES, it’s impossible to successfully adopt AI and ML solutions.
With so much focus on data initiatives, many companies are jumping in headfirst to apply AI and ML. But it’s important to remember that these programs take time and require a clear strategy and roadmap. That’s why Actemium takes a consultative approach to help our clients define the challenges facing them and solve them. We also focus on creating the foundation to help correctly implement new technologies in the future. Our digital transformation team is made up of experts in automation and controls, MES and DataOps. We believe bringing an experienced cross functional team together provides our clients not only value but de-risks their initiatives.
Dan Purcell is senior account manager at Actemium Avanceon LLC, a certified member of the Control System Integrators Association (CSIA). For more information about Avanceon, visit its profile on the CSIA Industrial Automation Exchange.