You're facing upcoming industry shifts. How can you revamp control systems to outpace the competition?

To outpace competition due to industry shifts following should be upfront approach: - Address lifecycle challenges by upgrading legacy systems through modular approaches that reduce total cost of ownership. - Revamp control systems by embracing open communication protocols such as OPC-UA, NAMUR reference architecture, tracking O-PAS maturity model etc. - Prioritize integrating hype-connectivity to enhance data flow, improving operational efficiency. - Leveraging digitalization, AI, and ML for predictive maintenance and optimization. - Address lifecycle challenges by upgrading legacy systems through modular approaches that reduce total cost of ownership. - Most importantly strengthen security measures aligned with technological shifts.

AI is a great tool to have, but the most important and you will greatly appreciate it if you have the knowledge (the - IN DATA) to predict and apply your model…! Then every action will be smooth and reasonable to implement.

AI will come with many ideas for revamping the control system that will be very expensive to implement some times We can learn from relay based control to PLC based control This experience can be adapted with the aid of AI and the new process complexity. In addition the current standards need to be updated as well

In the face of upcoming industry shifts, the ability to revamp and modernize control systems will play a crucial role in staying competitive. As technologies evolve, especially in manufacturing and automation, businesses need to integrate advanced systems that allow for greater flexibility, real-time data processing, and enhanced automation. Implementing technologies like Unified Namespace (UNS), SCADA, MES, Private 5G, and adopting the Publish-Subscribe (Pub/Sub) model will give manufacturers a significant competitive edge. Here’s how to effectively revamp control systems to meet the future demands of the industry.

I guess the biggest shift is the introduction of AI/ML into the forray. Now the success will be a quotient of how well we adapt to this new dimension or rather how far we lag behind. I can only comment on aviation for the moment, safety can be driven so accurately by these means , it can extend far beyond our imagination. I look passionately for the times to come and things to evolve. We are absolutely living the greatest dream of our lives !! Let's make it happen..

Same thing here, if you r knowledgeable, innovative, technology and most importantly if you know your application requirements you will take control and dictate your AI…!

Embrace Integrated Technologies: UNS, SCADA, and MES Unified Namespace (UNS): Implementing a UNS will centralize real-time data from across your production systems, eliminating silos and enabling seamless data sharing between SCADA, MES, IIoT devices, and other systems. This integration helps you make faster, data-driven decisions and optimize workflows. SCADA and MES Integration: Modernize SCADA systems for real-time control and monitoring of machines, while aligning them with MES for complete production management. This allows for more efficient workflows, automated processes, and real-time insights into production performance.

Cornerstone is the foundation of high sky building. To make it easy, strong and reliable you should build/design it as all roots (communication protocols) act as one peace including scan, real, secure, firewall…!

Here you have to keep the door open and consider future innovation and upgrade, it’s easy to implement if you have reserve (for newer versions). We called project life cycle!

Training becomes a sacrifice as the teams are always lean, and the work keeps piling up at sometimes an astronomical rate. So, the training has to be very strategic and becomes more difficult for the more senior individuals as the training must always be worthwhile. Additionally, formal training is only an equal component to the self-development that happens more realistically on an assigned project than in a lab. From this perspective, the culture must include the ability to fail as the individuals are learning the system and producing the work.