메뉴 건너뛰기




Volumn 59, Issue 4, 2010, Pages 976-985

Assessing effectiveness of the various performance metrics for multi-response optimization using multiple regression

Author keywords

Desirability function; Multiple regression; Multiple responses; Multivariate loss function; Taguchi method; Weighted signal to noise ratio

Indexed keywords

DESIRABILITY FUNCTION; MULTIPLE REGRESSION; MULTIPLE RESPONSES; MULTIVARIATE LOSS FUNCTION; TAGUCHI;

EID: 78049413210     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2010.09.009     Document Type: Article
Times cited : (35)

References (29)
  • 2
    • 24044435251 scopus 로고    scopus 로고
    • Index Cpm in multiple response optimization
    • C.K. Ch'ng, S.H. Quah, and H.C. Low Index Cpm in multiple response optimization Quality Engineering 17 2005 165 171
    • (2005) Quality Engineering , vol.17 , pp. 165-171
    • Ch'Ng, C.K.1    Quah, S.H.2    Low, H.C.3
  • 3
    • 0037449045 scopus 로고    scopus 로고
    • Optimization of TQFP modelling process using neuro-fuzzy-GA approach
    • T.L. Chiang, and C.T. Su Optimization of TQFP modelling process using neuro-fuzzy-GA approach European Journal of Operations Research 147 2003 156 164
    • (2003) European Journal of Operations Research , vol.147 , pp. 156-164
    • Chiang, T.L.1    Su, C.T.2
  • 4
    • 0000864746 scopus 로고
    • A nonlinear programming solution to the dual response problem
    • E. Del Castillo, and D.C. Montgomery A nonlinear programming solution to the dual response problem Journal of Quality Technology 25 1993 199 204
    • (1993) Journal of Quality Technology , vol.25 , pp. 199-204
    • Del Castillo, E.1    Montgomery, D.C.2
  • 5
    • 0000432952 scopus 로고
    • Simultaneous optimization of several response variables
    • G. Derringer, and R. Suich Simultaneous optimization of several response variables Journal of Quality Technology 12 1980 214 219
    • (1980) Journal of Quality Technology , vol.12 , pp. 214-219
    • Derringer, G.1    Suich, R.2
  • 8
    • 0019635705 scopus 로고
    • Simultaneous optimization of multiple responses represented by polynomial regression functions
    • A.I. Khuri, and M. Conlon Simultaneous optimization of multiple responses represented by polynomial regression functions Technometrics 23 1981 363 375
    • (1981) Technometrics , vol.23 , pp. 363-375
    • Khuri, A.I.1    Conlon, M.2
  • 10
  • 11
    • 0023999344 scopus 로고
    • Characterizing and optimizing multi-response processes by the Taguchi method
    • N. Logothetis, and A. Haigh Characterizing and optimizing multi-response processes by the Taguchi method Quality Reliability Engineering International 4 1988 159 169
    • (1988) Quality Reliability Engineering International , vol.4 , pp. 159-169
    • Logothetis, N.1    Haigh, A.2
  • 12
    • 77956939602 scopus 로고    scopus 로고
    • Multi-response optimization using multiple regression based weighted signal-to-noise ratio (MRWSN)
    • S. Pal, and S.K. Gauri Multi-response optimization using multiple regression based weighted signal-to-noise ratio (MRWSN) Quality Engineering 22 2010 336 350
    • (2010) Quality Engineering , vol.22 , pp. 336-350
    • Pal, S.1    Gauri, S.K.2
  • 17
    • 0346032204 scopus 로고
    • A study of the sintering properties of iron ores using the Taguchi's parameter design
    • G.H. Shiau A study of the sintering properties of iron ores using the Taguchi's parameter design Journal of Chinese Statistical Association 28 1990 253 275
    • (1990) Journal of Chinese Statistical Association , vol.28 , pp. 253-275
    • Shiau, G.H.1
  • 19
    • 0342338310 scopus 로고    scopus 로고
    • Multi-response robust design by principal component analysis
    • C.T. Su, and L.I. Tong Multi-response robust design by principal component analysis Total Quality Management 8 1997 409 416
    • (1997) Total Quality Management , vol.8 , pp. 409-416
    • Su, C.T.1    Tong, L.I.2
  • 23
    • 10644241792 scopus 로고    scopus 로고
    • A novel means of applying artificial neural networks to optimize multi-response problem
    • L.I. Tong, and K.L. Hsieh A novel means of applying artificial neural networks to optimize multi-response problem Quality Engineering 13 2000 11 18
    • (2000) Quality Engineering , vol.13 , pp. 11-18
    • Tong, L.I.1    Hsieh, K.L.2
  • 24
    • 0030869892 scopus 로고    scopus 로고
    • Optimizing multi-response problems in the Taguchi method by fuzzy multiple attribute decision making
    • L.I. Tong, and C.T. Su Optimizing multi-response problems in the Taguchi method by fuzzy multiple attribute decision making Quality Reliability Engineering International 13 1997 25 34
    • (1997) Quality Reliability Engineering International , vol.13 , pp. 25-34
    • Tong, L.I.1    Su, C.T.2
  • 25
    • 27944465204 scopus 로고    scopus 로고
    • Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution
    • L.I. Tong, C.H. Wang, and H.C. Chen Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution International Journal of Advanced Manufacturing Technology 27 2005 407 414
    • (2005) International Journal of Advanced Manufacturing Technology , vol.27 , pp. 407-414
    • Tong, L.I.1    Wang, C.H.2    Chen, H.C.3
  • 26
    • 0032794957 scopus 로고    scopus 로고
    • Robust design optimization for multiple characteristic problems
    • K. Tsui Robust design optimization for multiple characteristic problems International Journal on Production Research 37 1999 433 445
    • (1999) International Journal on Production Research , vol.37 , pp. 433-445
    • Tsui, K.1
  • 27
    • 0001928204 scopus 로고
    • Combining Taguchi and response surface philosophies: A dual response approach
    • G.G. Vining, and R.H. Myers Combining Taguchi and response surface philosophies: A dual response approach Journal of Quality Technology 22 1990 38 45
    • (1990) Journal of Quality Technology , vol.22 , pp. 38-45
    • Vining, G.G.1    Myers, R.H.2
  • 28
    • 24044525634 scopus 로고    scopus 로고
    • Optimization of correlated multiple quality characteristics using desirability function
    • C.F.J. Wu Optimization of correlated multiple quality characteristics using desirability function Quality Engineering 17 2005 119 126
    • (2005) Quality Engineering , vol.17 , pp. 119-126
    • Wu, C.F.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.