A Fuzzy Rule for Improving the Performance of Multiobjective Job Dispatching in a Wafer Fabrication Factory

Table 2

The differences between the proposed methodology and some predictive methods.

Scheduling method	Remaining cycle time estimation method	Types of inputs to the rule	Types of outputs from the rule	Number of objectives	Number of adjustable parameters	Optimization method
Tsai and Chen [12]	Effective FBPN	Crisp + fuzzy	Fuzzy	4	5	Minimizing the sum of the standard deviations of slacks by FNLP
Chen and Wang [21]	FCM-FBPN	Crisp	Crisp	2	1	Minimizing the standard deviation of slack by polynomial fitting
Chen [22]	FCM-BPN-GP	Crisp + fuzzy	Fuzzy	2	1	A systematic procedure for diversifying the fuzzy slack
Chen and Wang [37]	Postclassifying FBPN	Crisp	Crisp	2	2~3	Enumeration
Chen and Romanowski [23]	FCM-BPN	Crisp	Crisp	2	2	Minimizing the standard deviation of slack by polynomial fitting
The proposed methodology	SA-FBPN-aggregation	Crisp + fuzzy	Fuzzy	4	5	A systematic procedure for diversifying the fuzzy slack

∗FCM: fuzzy c-means; BPN: back propagation network; GP: goal programming; FNLP: fuzzy nonlinear programming.