search query: @author Sarin, S. C. / total: 3
reference: 2 / 3
| Author: | Sarin, S. C. Salgame, R. R. |
| Title: | Development of a knowledge-based system for dynamic scheduling |
| Journal: | International Journal of Production Research
1990 : AUG, VOL. 44E - 28:8, p. 1499-1512 |
| Index terms: | |
| Freeterms: | FERTIGUNGSPLANUNG, REIHENFOLGEPROBLEM |
| Language: | eng |
| Abstract: | Scheduling is concerned with determining when and using what resources for work orders to be accomplished. Existing computer-based scheduling systems do not quite address the need to make effective decisions. Artificial intelligence techniques have opened ways for adressing such issues in production scheduling. This paper develops a rule-based systems approach to deal with the dynamic scheduling problem. It reviews the AI-based scheduling systems and describes the system that is developed and implemented on a test case. |
SCIMA