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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yoo, Min-Jung |
| Abstract | Nowadays, manufacturing industries need more flexible scheduling systems by means of which users can manipulate certain dynamics such as: (i) receiving the changes which impact on a schedule, (ii) simulating a certain condition as an input to scheduling, with the possibility of selecting or rejecting the new result, (iii) concurrent planning and execution. In this paper, a multi-agent system applied to dynamic job shop scheduling and planning is introduced. The above mentioned problems were solved by: i) coupling reactive and pro-active agent behavior, ii) applying a stochastic method named simulated annealing, iii) achieving agent interaction among a large number of micro-scale agents, from which the plan is emerged. As a result we have succeeded in replacing the existing scheduling module of a software product (VisualProd). |
| Starting Page | 264 |
| Ending Page | 271 |
| Page Count | 8 |
| File Format | |
| ISBN | 1581134800 |
| DOI | 10.1145/544741.544804 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-07-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Reactive & pro-active behavior Disturbance Simulated annealing Dynamic scheduling Agent interaction Legacy software Stock planning |
| Content Type | Text |
| Resource Type | Article |
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