Advanced analytics are being built in or integrated into MES solutions for real-time data analysis and manufacturing intelligence. Advanced analytics often require a volume of data that works best in the cloud off premises. However, for some applications, users are investing in edge computing solutions to keep data on-premise. Users are also investing in machine learning and artificial intelligence to enable faster and better real-time decisions.
The digital twin is a 360° digital representation of a physical asset such as a compressor, motor or an entire plant. The digital twin represents not just the structure, but also the behavior of the physical asset in real life. This digital likeness can be manipulated to simulate operations under different conditions to provide visibility and predictability into behavior. While the majority of digital twins have been used in design and maintenance, they are starting to be used in manufacturing for seeing where manufacturing problems could occur, for process optimization, etc.
All of these newer technologies, strategies and trends are penetrating new-generation MES deployments. For additional information about the top technologies impactingMES and benefits and strategies obtain ARC’s latest MES research from MES Market Research Report and MES Supplier Selection report.