Research Article
A Fuzzy-Neural Ensemble and Geometric Rule Fusion Approach for Scheduling a Wafer Fabrication Factory
Table 2
The differences between the proposed methodology and the previous methods.
| Method | Way of fusing rules | Estimating the remaining cycle time | Optimization method | Heuristic | Digital manufacturing model is used for | Required evaluation rime |
| Hsieh et al. [5] | NA | NA | NA | Simulation | Evaluating/comparing scheduling performances | Lengthy | Dabbas et al. [26] | Linear | NA | DOE + the desirability function | Simulation | Evaluating/comparing scheduling performances | Lengthy | Harrath et al. [7] | Linear | NA | Enumeration | Association rule | Evaluating/comparing scheduling performances | Lengthy | Chen [29] | Nonlinear | FCM-BPN | Maximize the standard deviation of slacks | NLP | Confirmation study | Moderate | The proposed methodology | Nonlinear | FCM-BPN ensemble | Maximizing the geometric mean of the neighboring distances of slacks | NLP + systematic procedure | Confirmation study | Short |
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