This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Statistical Methods Needed to Achieve New Quality Levels and to Sustain the Improvement
Annotation ability available
Sector:
Language:
English
Abstract
The role of quality management is extremely broad, and within it falls the role of quality technology and statistical methods. This paper highlights four specific quality technologies that we employ widely far our process industry products at Du Pont. These technologies are relevant in the automotive industry. They are
- an extended concept of the quality loop
- process control using CUSUM
- the concept of a standard process o experimental strategy in relation to one key emphasis of Taguchi.
A main theme is the relation of these technologies to the product life span and to several other quality technologies of current interest. It is timely to take advantage of the opportunities to cross-fertilize recent quality technology advances occurring in the automotive and the process industries.
Recommended Content
Citation
Marquardt, D., "Statistical Methods Needed to Achieve New Quality Levels and to Sustain the Improvement," SAE Technical Paper 890773, 1989, https://doi.org/10.4271/890773.Also In
Plastics in Automobiles-Bumper Systems, Interior Trim, Instrument Panels, and Exterior Panels
Number: SP-0772; Published: 1989-02-01
Number: SP-0772; Published: 1989-02-01
References
- ISO 8402 1986 International Standard “Quality - Vocabulary” International Organization for Standardization Geneva. Switzerland American National Standards Institute New York, NY
- Marquardt, D. W. 1984 “New Technical and Educational Directions for Managing Product Quality” The American Statistician 38 8 14
- ISO 9004 1987 International Standard “Quality Management and Quality Systems Elements - Guidelines” International Organization for Standardization Geneva. Switzerland American National Standards Institute New York, NY ANSI/A5QC Q-94 1987 American Society for Quality Control Milwaukee, WI
- AN5I/ASQC Q-94 1987 ISO 9004 1987
- Juran, J. M. et al 1974 “Quality Control Handbook” Third McGraw-Hill Book Co. New York, NY
- Sullivan, L. P. 1986 “Quality Function Deployment” Quality Progress 19 39 50
- Hauser, J. R. Clausing, D. 1988 “The House of Quality” Harvard Business Review May-June 63 73
- Marquardt, D. W. 1987 “The importance of Statisticians” Journal of the American Statistical Association 82 1 7
- Marquardt, D. W. 1988 “The Statisticians Role in Quality Management” Panel Discussion at ASQC 1986 Annual Quality Congress, Quality Progress 21 28 33
- Lucas, J. M. 1976 “The Design and Use of V-Mask Control Schemes” Journal of Quality Technology 8 1 12
- Lucas, J. M. 1982 “Combined Shewhart-CU5UM Quality Control Schemes” Journal of Quality Technology 14 51 59
- Lucas, J. M. Crosier 1982a “Fast Initial Response for CUSUM Quality Control Schemes: Give Your CUSUM a Head Start” Technometrics 24 199 205
- Lucas, J. M. Crosier R. B. 1982b “Robust CUSUM: A Robustness Study for CUSUM Quality Control Schemes” Communications in Statistics 11 2669 2687
- Lucas, J. M. 1985 “Counted Data CUSUMs” Technometrics 27 129 144
- Quality Management Services 1975 Course Text for “Strategy of Experimentation” Specialty Services, E. I. de Pont de Nemours & Co., Inc. Wilmington, DE 1987
- Plackett, R. L. Burman J. P. 1946 “The Design of Optimum Multifactorial Experiments” Biometrika 33 305 325
- Box, G. E. P. Hunter J. S. Hunter W. G. 1978 “Statistics for Experimenters” John Wiley & Sons, Inc. New York, NY
- Kackar, R. N. 1985 “Off-Line quality Control, Parameter Design, and the Taguchi Method” Journal of Quality Technology 17 176 209
- Taguchi, G. Wu Y. 1980 “Introduction to Off-Line Quality Control” Central Japan Quality Control Association Nogoya, Japan
- Taguchi, G. 1986 “Introduction to Quality Engineering” Asian Productivity Organization Japan