Research Article
A Fuzzy-Neural Ensemble and Geometric Rule Fusion Approach for Scheduling a Wafer Fabrication Factory
Table 14
The performances of various approaches in the average cycle time.
| Avg. cycle time (hrs) | Case I | Case II | Case III | Case IV | Case V |
| FIFO | 1254 | 400 | 317 | 1278 | 426 | EDD | 1098 | 347 | 302 | 1431 | 436 | CR | 1145 | 354 | 299 | 1501 | 443 | SRPT | 948 | 350 | 308 | 1737 | 457 | FSMCT | 1313 | 347 | 293 | 1851 | 470 | FSVCT | 1014 | 382 | 315 | 1672 | 475 | NFS | 1456 | 407 | 321 | 1452 | 421 | DBD | 1031 | 349 | 297 | 1501 | 463 | 2f-TNFSMCT | 1369 | 379 | 306 | 1361 | 399 | 2f-TNFSVCT | 1465 | 416 | 318 | 1551 | 500 | The slack-diversifying rule | 1076 | 289 | 269 | 1132 | 388 | FCM-BPN-ensemble-2f-biFS | 987 | 276 | 254 | 1121 | 376 |
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