Collaboration
     & Interoperability
                            Congress - May 3-5, 2010

Validation of Model Based Definition (MBD) Data

Simon P. Frechette

Group Leader and SIMA Program Manager
NIST

Model-based definition practices and applications can dramatically reduce program costs and shorten delivery time for new programs and legacy parts. MBD shortens design-analysis cycles, streamlines manufacturing processes, and accelerates product roll-out by improving the sharing of product design information and communication throughout an organization, as well as among its suppliers and customers. Implementing data validation techniques and procedures will improve the quality of MBD models and streamline data re-use in downstream applications. Validation techniques and metrics will allow program managers to directly and independently assess technical data packages for completeness and conformance to data quality guidelines.

Speaker bio:

Simon Frechette is a member of the NIST Manufacturing Systems Integration Division. He has worked in the areas of manufacturing standards implementation, conformance testing, product data standards, and systems integration for the last 20 years. Currently, he is the group leader for the Manufacturing Standards Methods Group and manages the NIST Systems Integration for Manufacturing Applications (SIMA) program, which coordinates NIST efforts to improve data integration for manufacturing and science applications.
Previous positions include work with Westinghouse and a NIST internship with Black & Decker Corp. He received a BS in Mechanical Engineering from the University of Wisconsin, an MS in Mechanical Engineering from the University of Kansas and an MS in Computer Science from the John's Hopkins University.