Control systems integration in industry 4.0

Industry 4.0 is a well known theme in current automation strategies for almost all businesses. The combination of digital data, industrial control, data analysis, Digital design data and digital process information connected to digital business information can help a business become more efficient and understand their process flow better. Control Automation Solutions can help any industrial company to integrate the digital processing side with the digital business side of their operation.

MES

Enterprise resource planning (ERP) is required to plan the people, assets and materials on your industrial site. Connection this to the production control system requires a software system that reads your ERP system’s data and combines it with your business rules to construct production orders for your production environment. This way a better integration of material management, asset management and resource management can be guaranteed, and the actual cost and usage can be monitored live throughout the production schedule. A manufacturing execution systems (MES) is software that does this. Control Automation Solutions has experience in implementing full ISA 95 standardized MES systems for various OEM’s, but we can also implement our own Production Manager software platform which has all ISA 95 modules implemented to work with your current software systems.

Digital Plant Design

To better understand your site in future, a good idea is to digitalize the piping and instrumentation and electrical system designs. Doing this in a computerised system will give you the opportunity to create a digital twin, augmented reality training systems, and other advanced technology systems to enhance operator training, more easily update or migrate sections of the control and electrical system in future and even simulate and calculate future extensions to the site. Control Automation Solutions can do the digitalization for you to make sure you receive your digitalized plant which can then be used to optimize future operations.