By Topic

Distributed manufacturing scheduling using a novel cooperative system

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
$33 $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

4 Author(s)
R. Zhou ; School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore ; G. Chen ; Z. H. Yang ; J. B. Zhang

The problem of manufacturing scheduling is crucial but difficult due to its computational demands. Many general-purpose meta-heuristics or multi-agent scheduling systems with social- or natural-inspired protocols for agent interacting or decision making have been widely adopted to provide optimal or suboptimal solutions. In this paper, more relevant rules are found from the known optimal solutions of a classic manufacturing scheduling problem and used to build a novel cooperative system, which can find optimal/near-optimal solutions within a reasonable computational time by employing those rules.

Published in:

Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct. 2008