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Preliminary Design and Manufacturing Planning Integration Using Intelligent Agents

Published

Author(s)

Shaw C. Feng, Eugene Song

Abstract

Intelligent agents can enable the integration of preliminary design with manufacturing planning software systems. These agents execute in a computer-based collaborative environment called ?multi-agent platform.? A prototype agent platform supporting the integration of preliminary design and manufacturing planning has been developed at NIST. These agents have access to a knowledge base that is implemented by rules, generated by mapping design information to process and resource selections. The rules are derived from an analysis of design factors that influence process and resource planning, such as product material, form, shape complexity, features, dimension, tolerance, surface condition, and production volume. Process planning agents provide process planners with information regarding selecting preliminary manufacturing processes, determining manufacturing resources, and constructing feed-back information to product designers. The agent platform enables the information exchange among agents, based on the integrated object model. The main purposes of developing such a platform are to support product preliminary design, optimize product form and structure, and reduce the manufacturing cost in the early design process.
Proceedings Title
proceedings of the 7th International Conference on Computer Supported Collaborative Work in Design
Conference Dates
September 1, 2002
Conference Location
Rio de Janeiro, 1, BR

Keywords

Intelligent Agents, manufacturing planning, multi-agent platform, preliminary design, software

Citation

Feng, S. and Song, E. (2002), Preliminary Design and Manufacturing Planning Integration Using Intelligent Agents, proceedings of the 7th International Conference on Computer Supported Collaborative Work in Design, Rio de Janeiro, 1, BR, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822014 (Accessed June 23, 2024)

Issues

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

Created August 31, 2002, Updated October 12, 2021