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Smart Connected Manufacturing Systems Group
Develops and deploys advances in measurement science, including standards, guidelines, and tools, that enable U.S. manufacturers to use disparate data and advanced communications technologies to build knowledge and make better decisions to improve the quality, reliability, interoperability, and efficiency of connected smart manufacturing systems.
WHO WE ARE
The Smart Connected Manufacturing Systems Group conducts research with the objective of helping US manufacturers make the transition to model-based practices through innovations in systems modeling, integrating analysis into systems models, establishing a trusted, standards-based digital thread for lifecycle data, exploration of heterogeneous data fusion, guidelines for industrial AI best practices, and guidelines for evaluating industrial AI systems.
CURRENT PROJECTS
- Systems Analysis Integration, Project Lead Conrad Bock.
- Develops methods, protocols, and standards enabling efficient integration of systems models and engineering analysis models, to facilitate design, manufacture and maintenance of smart infrastructure and manufacturing systems.
- Digital Thread, Project Lead Allison Barnard Feeney.
- Delivers methods, protocols, and tools that enable U.S. manufacturers to use universal digital models to connect systems and communicate trusted product and process data, improving quality, reliability, interoperability, and efficiency.
- Industrial AI Metrology and Management, Project Lead Michael Sharp.
- Improves understanding and effective use of AI systems and tools for industrial applications through the development of domain-specific applications management and methods for qualitative and quantitative systems measurement.
