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The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
Digital Twin is a concept, not an application, and definitely not a shortcut to achieving smart manufacturing benefits. Unfortunately, it is necessary to understand that the path to I4.0 is a path of sophistication, but also of maturity.
As I started to explore in the first post of this series, many companies seem to be strategically lost among the various digitization initiatives and are experiencing severe difficulties in achieving results from the investments made.
As the data sources grow in size and variety, things get more complicated, and the Data Warehouse implementation projects become extremely long and prohibitively expensive, since they imply a normalization of all business data. But there are alternatives.
While manufacturing increasingly relies on near real time data for decision making, it requires solutions that can rapidly generate and process huge amounts of data. Edge solutions are a critical element of the entire data platform.
Dark data has no immediate value and does not translate into useful information, even when orchestrated and organized. Yet you should store it. This post explains why and how
Contrary to what happened in the previous industrial revolutions, manufacturing has lagged in implementing the base technologies underlying the transformation. Why has it been so conservative and slow to adopt big data?
Finding success with smart factories can be a frustrating experience. It’s not for lack of trying, since most major companies have undertaken projects, but as a Cap Gemini report shows, it appears they are not getting the results they’d expected.