IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Industrial Electronics, Contr ... Help

A new knowledge-based approach to decision support for job scheduling of FMS

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Yang, W. ; Dept. of Mech. Eng., Chiba Univ., Japan

The author presents a novel approach for managing the operation of flexible manufacturing systems (FMSs). This knowledge-based scheduling approach integrates the heuristic knowledge scheduling algorithm, simulation, and Petri nets together to establish a decision support system for more efficiently sequencing operations within the FMS. This knowledge-based scheduling system consists of a database, a heuristic knowledge base, a simulation system, and a controller. Reasonably good schedules are obtained by taking advantage of Petri nets and heuristic knowledge

Published in:
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on

Date of Conference: 9-13 Nov 1992

Page(s):
871 - 876 vol.2
Meeting Date :
09 Nov 1992-13 Nov 1992
Print ISBN:
0-7803-0582-5
INSPEC Accession Number:
4518381
Conference Location :
San Diego, CA
Digital Object Identifier :
10.1109/IECON.1992.254516
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.