| 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.