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

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

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