메뉴 건너뛰기




Volumn 22, Issue 3, 2006, Pages 307-320

Process optimization via Robust Parameter Design when categorical noise factors are present

Author keywords

Noise variables; Process improvement; Response surface methodology; Robust design

Indexed keywords

NOISE VARIABLES; PROCESS IMPROVEMENT; RESPONSE SURFACE METHODOLOGY; ROBUST DESIGN;

EID: 33646384577     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.772     Document Type: Article
Times cited : (12)

References (15)
  • 1
    • 84952493724 scopus 로고
    • Response surface alternatives to the Taguchi robust parameter design approach
    • Myers RH, Khuri AI, Vining GG. Response surface alternatives to the Taguchi robust parameter design approach. The American Statistician 1992; 46:131-139.
    • (1992) The American Statistician , vol.46 , pp. 131-139
    • Myers, R.H.1    Khuri, A.I.2    Vining, G.G.3
  • 4
    • 0003455508 scopus 로고
    • Central Japan Quality Control Association; available from American Supplier Institute, Dearborn, MI
    • Taguchi G, Wu Y. Introduction to Off-line Quality Control. Central Japan Quality Control Association, 1985; available from American Supplier Institute, Dearborn, MI.
    • (1985) Introduction to Off-line Quality Control
    • Taguchi, G.1    Wu, Y.2
  • 7
    • 84952135282 scopus 로고
    • Economical experimentation methods for robust parameter design
    • Shoemaker AC, Tsui KL, Wu CFJ. Economical experimentation methods for robust parameter design. Technometrics 1991; 33:415-427.
    • (1991) Technometrics , vol.33 , pp. 415-427
    • Shoemaker, A.C.1    Tsui, K.L.2    Wu, C.F.J.3
  • 8
    • 84952120470 scopus 로고
    • Taguchi's parameter design: A panel discussion
    • Nair VN. Taguchi's parameter design: A panel discussion. Technometrics 1992; 34:127-161.
    • (1992) Technometrics , vol.34 , pp. 127-161
    • Nair, V.N.1
  • 9
    • 0028516023 scopus 로고
    • How to achieve a robust process using response surface methodology
    • Lucas JM. How to achieve a robust process using response surface methodology. Journal of Quality Technology 1994; 26:248-260.
    • (1994) Journal of Quality Technology , vol.26 , pp. 248-260
    • Lucas, J.M.1
  • 10
    • 0030129587 scopus 로고    scopus 로고
    • Observable uncontrollable factors in parameter design
    • Pledger M. Observable uncontrollable factors in parameter design. Journal of Quality Technology 1996; 28:153-162.
    • (1996) Journal of Quality Technology , vol.28 , pp. 153-162
    • Pledger, M.1
  • 11
    • 0031062217 scopus 로고    scopus 로고
    • Designs of mixed resolution for process robustness studies
    • Borkowski JJ, Lucas JM. Designs of mixed resolution for process robustness studies. Technometrics 1997; 37:63-70.
    • (1997) Technometrics , vol.37 , pp. 63-70
    • Borkowski, J.J.1    Lucas, J.M.2
  • 14
    • 1042269266 scopus 로고    scopus 로고
    • Robust parameter design with categorical noise factors
    • Brenneman WA, Myers WR. Robust parameter design with categorical noise factors. Journal of Quality Technology 2003; 35:335-341.
    • (2003) Journal of Quality Technology , vol.35 , pp. 335-341
    • Brenneman, W.A.1    Myers, W.R.2
  • 15
    • 0000432952 scopus 로고
    • Simultaneous optimization of several response variables
    • Derringer G, Suich R. Simultaneous optimization of several response variables. Journal of Quality Technology 1980; 12:214-219.
    • (1980) Journal of Quality Technology , vol.12 , pp. 214-219
    • Derringer, G.1    Suich, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.