Second webinar part of the webinar series: From Visibility to Execution: how MES Drives Consistent Execution in Consumer Products
The critical role of Manufacturing Execution Systems (MES) on your smart way to Operational Excellence with AI and ML
The ambition to use AI for optimizing manufacturing operations requires to solve a data problem first. Industrial Data is often trapped in silos such as process and asset streams, event and alarms, data managed in spreadsheets and engineering data in drawings, 2 D and 3 D models – furthermore maintenance info, quality data, planning data and more.
The problem is not the amount of data it is the fragmentation and the different representations while being related to the same facilities, processes and assets operated. Without knowledge which measurement belongs to which asset, product, order, batch and recipe - effective root cause analyses cannot be performed. To understand cause-and-effect relationships data must be aggregated and contextualized.
That’s where a MES becomes a critical element to solve the data fragmentation and contextualization problem. A MES coordinates and tracks all operational activities into a structured data model which provides the foundation for contextualizing all operational data into a data fabric that advanced analytics and machine learning can use to generate predictive and prescriptive insights to optimize plant productivity, quality and sustainability.
Watch this webinar to understand why a hybrid cloud MES solution helps you to quickly put proven Industrial AI capabilities into action for you. Also learn how hybrid cloud solution architecture provides the scalable platform that accelerates MES and industrial AI based optimization strategies that span across multi-site operations.
