Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Towards an Information Processing Representation for Dynamic Process Optimization in Smart Machining Systems

Published

Author(s)

Laurent Deshayes, Lawrence A. Welsch, Aurelie Vacher, Alkan Donmez

Abstract

Smart Machining Systems (SMS) are an important part of today''s manufacturing companies.  SMS include the use of diverse technologies that once integrated together, provide the capabilities of: producing the first and every product correct; improving the response of the production system to changes in demand (just in time); realizing rapid manufacturing; and, providing data on an as needed basis.  Each technology uses information with its own representation.  In order to integrate the technologies an SMS must enable the seamless flow of information between each technology and the part of the SMS that optimizes the performance of machining processes.  This paper reports on the initial developments of an information processing representation for dynamic process optimization of machining processes within a Smart Machining System (SMS).
Proceedings Title
Proceedings of the 6th International Conference on Integrated Design Manufacturing in Mechanical Engineering (IDMME) 2006
Conference Dates
May 17-19, 2006
Conference Location
Grenoble, 1, FR

Keywords

information representation, robust optimization, smart machining systems (SMS)

Citation

Deshayes, L. , Welsch, L. , Vacher, A. and Donmez, A. (2006), Towards an Information Processing Representation for Dynamic Process Optimization in Smart Machining Systems, Proceedings of the 6th International Conference on Integrated Design Manufacturing in Mechanical Engineering (IDMME) 2006, Grenoble, 1, FR (Accessed June 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created April 30, 2006, Updated October 12, 2021