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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.

Smart Connected Manufacturing Systems


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.


  • 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.

News and Updates


Digital Thread for Manufacturing

The Digital Thread for Manufacturing project will deliver methods, protocols, and tools for developing, conformance testing, increasing user-awareness, and

Systems Analysis Integration

Smart manufacturing system development and operations are difficult to manage because information about the systems and their analysis is expressed in redundant

Digital Thread for Smart Manufacturing

The Digital Thread for Smart Manufacturing Systems project will deliver methods and protocols that extend and complete the digital thread for information


STEP File Analyzer and Viewer

The free STEP File Viewer supports parts, assemblies, dimensions, tolerances, and more. The Analyzer generates a spreadsheet of all entity and attribute


SimPROCESD is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it

QIF PMI Report Software

The QIF PMI Report (QPR) software generates a spreadsheet from a QIF file containing Product and Manufacturing Information (PMI). "The Quality Information