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.

Generic Simulation of Automotive Assembly for Interoperability Testing

Published

Author(s)

Deogratias Kibira, Charles R. McLean

Abstract

Computer simulation is effective in improving the effi-ciency of manufacturing system design, operation, and maintenance. Most simulation models are usually tailored to address a narrow set of industrial issues, e.g., the intro-duction of a new product. If generic data-driven simulations could be developed they would be reusable for wider application including interoperability testing of stan-dards for exchange of data across the supply chain in manufacturing. To facilitate future interoperability testing and training, scientists at the National Institute of Stan-dards and Technology are currently developing distributed, integrated manufacturing simulations for automotive manufacturing. These simulations are being developed at four different levels: the supply chain, the assembly plant, the engineering systems, and the shop floor level. This pa-per describes the development of a simulation model of the final assembly plant. Future efforts will increase the versa-tility of the model, run it on neutral data and extend integration with supply chain simulation.
Proceedings Title
Proceedings of the 2007 Winter Simulation Conference
Conference Dates
December 11-13, 2007
Conference Location
Washington, DC

Keywords

automotive manufacturing, interoperability, neutral data, simulation, supply chain integration, virtual manufacturing

Citation

Kibira, D. and McLean, C. (2007), Generic Simulation of Automotive Assembly for Interoperability Testing, Proceedings of the 2007 Winter Simulation Conference, Washington, DC, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822737 (Accessed June 14, 2024)

Issues

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

Created July 1, 2007, Updated February 19, 2017