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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

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.

News and Updates

Projects

Digital Thread for Manufacturing

Ongoing
Purpose and Goals This project will provide research advances in product-definition standardization, conformance testing, and cybersecurity of data assets. Digital thread standards capabilities and infrastructure - Smart connected manufacturing requires the effective communication of the product

Industrial Artificial Intelligence Management and Metrology (IAIMM)

Ongoing
IAIMM has identified IAI systems for decision making, planning, and control in manufacturing as a prime candidate for better Standard Operating Procedures (SOPs) centered on both use and evaluation. The specific use case of multi-stage manufacturing presents a broad scope of application to

Systems Analysis Integration

Ongoing
Purpose & Goal The purpose of the SAI Project is to reduce redundant and inconsistent information about systems and their analysis across the multiple engineering disciplines involved. Redundant and inconsistent information exists between: Systems and analysis models: discipline-specific analysis

Digital Thread for Smart Manufacturing

Completed
Objective: The Digital Thread for Smart Manufacturing Systems project will deliver methods and protocols that extend and complete the digital thread for information running through design, manufacturing and product support processes to integrate smart manufacturing systems. The results of this

Software

SimPROCESD

SimPROCESD (or Simulated-Production Resource for Operations & Conditions Evaluations to Support Decision-making) is a discrete-event simulation package written

Contacts

Group Leader