By Topic

A hybrid optimization and knowledge-based approach to job shop scheduling

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)
T. A. Owens ; Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA ; P. B. Luh ; S. K. Cochran ; P. Weisser

A synergetic combination of optimization and knowledge-based methods in a system of distributed architecture is presented. At the resource level, precedence-constrained operations with various levels of importance are near-optimally scheduled to minimize weighted tardiness. Violations of precedence and capacity constraints are handed by knowledge-based methods at the higher, coordination level. The net result is an effective, informative, and flexible job shop scheduling system

Published in:

Computer Integrated Manufacturing, 1990., Proceedings of Rensselaer's Second International Conference on

Date of Conference:

21-23 May 1990