Building Confidence in Control Systems: Reliable Monitoring Made Easy
The International Society of Automation recently published an update to its ISA-95 series. The reason? Manufacturing, much like so many other industries, is experiencing rapid change thanks to the rise of automation. Not only is there a reckoning with this reality among industry organizations, but individual companies as well. Automation is inevitable. It is also beneficial, especially when it comes to the control it provides. One of the areas of control it enhances the most is monitoring.
Monitoring for Improved Cost and Efficiency
As Bill Lydon writes in a piece for Automation.com, “New technology is enabling remote monitoring capabilities to improve operational effectiveness.” Essentially, tech-driven monitoring allows operators to more easily identify any potential problems, analyze the issue, and respond in a timely manner. Plus, they don’t have to be on site to do so. According to a Deloitte study, 86% of manufacturing executives believe that this style of smart technology integration will increase their market competitiveness. This is because it can both maximize efficiency and help minimize cost.
Monitoring for Maintenance
A significant way in which having reliable monitoring minimizes cost is by boosting predictive maintenance and production processes. Because monitoring offers a constant eye on the ins and outs of an operation, it can more quickly recognize a potential or occurring malfunction. This ensures that systems continue running without interruption. In turn, companies can rest more easily knowing that they won’t experience a detrimental shutdown.
Sources:
● “ISA-95 standard updated to integrate enterprise and manufacturing control systems” - Jim Montague, Control Global
● “Technology Trends That Empower Innovation” - Bill Lydon, Automation
https://www.automation.com/en-us/articles/september-2024/technology-trends-empower-innovation
● “AI in Manufacturing: Reshaping Quality Control and Efficiency” - Debbie Baldwin, Quality Mag
● “How is AI being used in manufacturing?” - Matthew Finio, IBM