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Volumn 209, Issue 1, 2009, Pages 619-624

Design improvement using process capability data

Author keywords

Electrical connectors; Process capability data; Process capability database; Tolerance allocation

Indexed keywords

CONNECTORS (STRUCTURAL); DATABASE SYSTEMS; DESIGN; ELECTRIC CONNECTORS; ELECTRIC LOAD FORECASTING; FORECASTING; PROCESS DESIGN; PRODUCT DESIGN; PRODUCTION ENGINEERING; RELIABILITY;

EID: 53949117416     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2008.02.059     Document Type: Article
Times cited : (24)

References (18)
  • 2
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    • Bauer, L.W., 2002. Process Capability Modeling. General Electric Corporation. Technical Information Series, 2002GRC038.
    • Bauer, L.W., 2002. Process Capability Modeling. General Electric Corporation. Technical Information Series, 2002GRC038.
  • 4
    • 53949110155 scopus 로고    scopus 로고
    • Day, D., Raines, M., Swift, K., 2005. Process Capable Tolerancing. www.tec-ease.com.
    • Day, D., Raines, M., Swift, K., 2005. Process Capable Tolerancing. www.tec-ease.com.
  • 5
    • 53949113200 scopus 로고    scopus 로고
    • Refinements in using historical process data to optimize tolerance allocation
    • Harris D. (Ed). University of Ulster
    • Delaney K.D., and Phelan P. Refinements in using historical process data to optimize tolerance allocation. In: Harris D. (Ed). The 23rd International Manufacturing Conference. University of Ulster (2006)
    • (2006) The 23rd International Manufacturing Conference
    • Delaney, K.D.1    Phelan, P.2
  • 8
    • 53949109279 scopus 로고    scopus 로고
    • Collecting and developing manufacturing process capability models
    • Drake Jr. P. (Ed), McGraw-Hill
    • King. Collecting and developing manufacturing process capability models. In: Drake Jr. P. (Ed). Dimensioning and Tolerancing Handbook (1999), McGraw-Hill 17.1-17.11
    • (1999) Dimensioning and Tolerancing Handbook
    • King1
  • 10
    • 0001691041 scopus 로고
    • The study of variability in engineering design
    • Morrison S.J. The study of variability in engineering design. Appl. Stat. 6 2 (1957) 133-138
    • (1957) Appl. Stat. , vol.6 , Issue.2 , pp. 133-138
    • Morrison, S.J.1
  • 11
    • 0034246082 scopus 로고    scopus 로고
    • Engineering design-the fount of quality
    • Morrison S.J. Engineering design-the fount of quality. Eng. Manage. J. 10 4 (2000) 194-196
    • (2000) Eng. Manage. J. , vol.10 , Issue.4 , pp. 194-196
    • Morrison, S.J.1
  • 13
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    • Dimensional management
    • Drake Jr. P. (Ed), McGraw-Hill
    • Nickolaisen. Dimensional management. In: Drake Jr. P. (Ed). Dimensioning and Tolerancing Handbook (1999), McGraw-Hill 2.1-2.10
    • (1999) Dimensioning and Tolerancing Handbook
    • Nickolaisen1
  • 16
    • 0033353412 scopus 로고    scopus 로고
    • A mathematical framework for the key characteristic process
    • Thornton A.C. A mathematical framework for the key characteristic process. Res. Eng. Des. 11 (1999) 145-157
    • (1999) Res. Eng. Des. , vol.11 , pp. 145-157
    • Thornton, A.C.1
  • 17
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    • Quantitative selection of variation reduction plans
    • Thornton A.C. Quantitative selection of variation reduction plans. J. Mech. Des. 12 (2000) 185-193
    • (2000) J. Mech. Des. , vol.12 , pp. 185-193
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  • 18
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    • Thornton, A.C., 2004. Build a Usable Process Capability Database. Six Sigma Forum Magazine, pp. 32-35.
    • Thornton, A.C., 2004. Build a Usable Process Capability Database. Six Sigma Forum Magazine, pp. 32-35.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.