Article ID: | iaor1992594 |
Country: | Canada |
Volume: | 30 |
Issue: | 1 |
Start Page Number: | 11 |
End Page Number: | 29 |
Publication Date: | Feb 1992 |
Journal: | INFOR |
Authors: | Potvin Jean-Yves |
Keywords: | artificial intelligence |
This paper describes the OPIS job-shop scheduling system which is aimed at solving real-life problems via artificial intelligence and operations research techniques. The problem-solving strategy is based on an opportunistic constraint and conflict directed search and is realized through a black board-like architecture. Experimental results are presented at the end of the paper to illustrate the benefits of that approach.