Statistical methods for six sigma : in R & D and manufacturing /
Applying SPC to the food industry, this text covers variance component analysis and planning and decision making. It is written from a practical viewpoint for managers, engineers and technical personnel, and production workers in the food industry.
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
Wiley-Interscience,
©2003.
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| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 100 | 1 | |a Joglekar, Anand M. | |
| 245 | 1 | 0 | |a Statistical methods for six sigma : |b in R & D and manufacturing / |c Anand M. Joglekar. |
| 260 | |a Hoboken, NJ : |b Wiley-Interscience, |c ©2003. | ||
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| 504 | |a Includes bibliographical references (pages 317-318) and index. | ||
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| 505 | 0 | |a Statistical Methods for Six Sigma; Contents; Preface; 1 Introduction; 2 Basic Statistics; 3 Comparative Experiments and Regression Analysis; 4 Control Charts; 5 Process Capability; 6 Other Useful Charts; 7 Variance Components Analysis; 8 Quality Planning with Variance Components; 9 Measurement Systems Analysis; 10 What Color Is Your Belt?; Appendix A. Tail Area of Unit Normal Distribution; Appendix B. Probability Points of the t Distribution with n Degrees of Freedom; Appendix C. Probability Points of the c(2) Distribution with n Degrees of Freedom. | |
| 520 | |a Applying SPC to the food industry, this text covers variance component analysis and planning and decision making. It is written from a practical viewpoint for managers, engineers and technical personnel, and production workers in the food industry. | ||
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