Research Article
A Fuzzy-Neural Ensemble and Geometric Rule Fusion Approach for Scheduling a Wafer Fabrication Factory
Table 15
The performances of various approaches in cycle time standard deviation.
| Cycle time standard deviation (hrs) | Case I | Case II | Case III | Case IV | Case V |
| FIFO | 55 | 24 | 25 | 87 | 51 | EDD | 128 | 25 | 23 | 50 | 61 | CR | 70 | 30 | 18 | 57 | 52 | SRPT | 248 | 31 | 22 | 106 | 53 | FSMCT | 419 | 33 | 16 | 129 | 104 | FSVCT | 280 | 37 | 27 | 201 | 77 | NFS | 87 | 49 | 19 | 44 | 47 | DBD | 136 | 25 | 19 | 77 | 29 | 2f-TNFSMCT | 75 | 37 | 17 | 47 | 19 | 2f-TNFSVCT | 38 | 38 | 29 | 33 | 24 | The slack-diversifying rule | 86 | 26 | 15 | 54 | 21 | FCM-BPN-ensemble-2f-biFS | 83 | 21 | 16 | 55 | 19 |
|
|