Hierarchical Factor Analysis Methodology for Intelligent Manufacturing

Table 5

Summary of the target model.

Variable		Target
		y1 (width)		y2 (thickness)		y3 (space)
Data set	Lot size	137	200	137	200	137	200
	Variable	200	57	200	57	200	57
	Training validation	70 : 30	70 : 30	70 : 30	70 : 30	70 : 30	70 : 30
Variable	Pump flux	.Pump5, 6, 12_flux	.Pump1_flux	.c_temp_003 .a_col 143	.Pump6_flux	.Pump12_flux	.Pump1_flux
	Rectifier voltage	.Rect119, 124, 149, 62, 86_vtg	.Rect27_vtg; .Rect36_vtg	.Rect124_vtg; .Rect125_vtg; .Rect150_vtg	.Rect13_vtg .Rect45_vtg	.Rect124_vtg .Rect135_vtg	.Rect1, 20, 27, 36; .Rect3
Coefficient of determination	R-square	0.83	0.36	0.76	0.29	0.52	0.41
Validation (training: validation)	RMSE	1.22 : 1.28	0.90 : 0.91	0.87 : 1.04	0.84 : 0.76	0.93 : 1.0	0.90 : 1.08
	SSE	130.9 : 65.5	111.5 : 49.9	68.8 : 43.6	95 : 34.7	80.1 : 40.6	107.2 : 70.1