Introduction to engineering statistics and six sigma: Statistical quality control and design of experiments and systems

Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems

Volumn , Issue , 2006, Pages 1-529

  Allen, Theodore T ^a  

^a Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892287909     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/1-84628-200-4     Document Type: Book

References (157)

1. Bloom BS (ed.) (1956) Taxonomy of Educational Objectives. (Handbook I: Cognitive Domain). Longmans, Green and Co., New York
2. Clausing D (1994) Total Quality Development: A Step-By-Step Guide to World-Class Concurrent Engineering. ASME Press, New York
3. Collins, J (2001) Good to Great: Why Some Companies Make the Leap. and Others Don't. Harper-Business, New York
4. Czitrom V (1999) One-Factor-at-a-Time Versus Designed Experiments. The American Statistician 53 (2):126-131
5. Fisher RA. (1925) Statistical Methods for Research Workers. Oliver and Boyd, London
6. Hahn, GJ, Hill, WJ, Hoer, RW, and Zinkgraft, SA (1999) The Impact of Six Sigma Improvement-A Glimpse into the Future of Statistics. The American Statistician, 532:208-215.
7. Harry MJ, Schroeder R (1999) Six Sigma, The Breakthrough Management Strategy Revolutionizing The World's Top Corporations. Bantam Doubleday Dell, New York
8. Hazelrigg G (1996) System Engineering: An Approach to Information-Based Design. Prentice Hall, Upper Saddle River, NJ
9. Kaynak H (2003) The relationship between total quality management practices and their effects on firm performance. The Journal of Operations Management 21:405-435
10. Linderman K, Schroeder RG, Zaheer S, Choo AS (2003) Six Sigma: a goaltheoretic perspective. The Journal of Operations Management 21:193-203
11. Pande PS, Neuman RP, Cavanagh R (2000) The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. McGraw-Hill, New York
12. Taguchi G (1993) Taguchi Methods: Research and Development. In: Konishi S (ed.) Quality Engineering Series, vol 1. The American Supplier Institute, Livonia, MI
13. Welch J, Welch S (2005) Winning. HarperBusiness, New York
14. Womack JP, Jones DT (1996) Lean Thinking. Simon & Schuster, New York
15. Womack JP, Jones DT, Roos D (1991) The Machine that Changed the World: The Story of Lean Production. Harper-Business, New York
16. Harry, MJ, Schroeder R (1999) Six Sigma, The Breakthrough Management Strategy Revolutionizing The World's Top Corporations. Bantam Doubleday Dell, New York
17. Pande PS, Neuman RP, Cavanagh, R (2000) The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. McGraw-Hill, New York
18. Clausing D (1994) Total Quality Development: A Step-By-Step Guide to World-Class Concurrent Engineering. ASME Press, New York
19. Goldratt, EM, Cox J (2004) The Goal, 3rd edition. North River Press, Great Barrington, MA
20. Lee W, Mulliss C, Chiu HC (2000) On the Standard Rounding Rule for Addition and Subtraction. Chinese Journal of Physics 38:36-41
21. Martin P, Oddo F, and Tate K (1997) The Project Management Memory Jogger: A Pocket Guide for Project Teams. Goal/Qpc, Salem, NH
22. Mullis C, Lee W (1998) On the Standard Rounding Rule for Multiplication and Division. Chinese Journal of Physics 36:479-487
23. Robert SC, Robert HM III, Robert GMH (2000) Robert's Rules of Order, 10th edn. Robert HM III, Evans WJ, Honemann DH, Balch TJ (eds). Perseus Publishing, Cambridge, MA
24. Streibel BJ (2002) The Manager's Guide to Effective Meetings. McGraw-Hill, New York
25. Automotive Industry Task Force (AIAG) (1994) Measurement Systems Analysis Reference Manual. Chrysler, Ford, General Motors Supplier Quality Requirements Task Force
26. Montgomery DC, Runger GC (1994) Gauge Capability and Designed Experiments (Basic Methods, Part I). Quality Engineering 6:115-135
27. Shewhart WA (1980) Economic Quality Control of Manufactured Product, 2nd edn. ASQ, Milwaukee, WI
28. Banks J, Carson JS, Nelson NB (2000) Discrete-Event System Simulation, 3rd edn. Pearson International, Upper Saddle River, NJ
29. Irani SA, Zhang H, Zhou J, Huang H, Udai TK, Subramanian S (2000) Production Flow Analysis and Simplification Toolkit (PFAST). International Journal of Production Research 38:1855-1874
30. Law A, Kelton WD (2000) Simulation Modeling and Analysis, 3rd edn. McGraw-Hill, New York
31. Liker J (ed) (1998) Becoming Lean: Inside Stories of U.S. Manufacturers. Productivity Press, Portland, OR
32. Suzaki K (1987) The New Manufacturing Challenge. Simon & Schuster, New York
33. Womack JP, Jones DT (1996) Lean Thinking. Simon & Schuster, New York
34. Womack JP, Jones DT (1999) Learning to See, Version 1.2. Lean Enterprises Instititute Incorporated
35. Brady JE (2005) Six Sigma and the University: Research, Teaching, and Meso-Analysis. PhD dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
36. Clausing D (1994) Total Quality Development: A Step-By-Step Guide to World-Class Concurrent Engineering. ASME Press, New York
37. Shin JS, Kim KJ, Chandra MJ (2002) Consistency Check of a House of Quality Chart. International Journal of Quality & Reliability Management 19:471-484
38. Dodge HF, Romig HG (1959) Sampling Inspection Tables, Single and Double Sampling, 2nd edn. Wiley, New York
39. Hotelling H (1947) Multivariate Quality Control, Techniques of Statistical Analysis. Eisenhard, Hastay, and Wallis, eds. McGraw-Hill, New York
40. Roberts SW (1959) Control Chart Tests Based on Geometric Moving Averages. Technometrics 1: 236-250
41. Besterfield D (2001) Quality Control. Prentice Hall, Columbus, OH
42. Brady J, Allen T (2002) Case Study Based Instruction of SPC and DOE. The American Statistician 56(4):1-4
43. Lenth RV (1989) Quick and Easy Analysis of Unreplicated Factorials. Technometrics 31:469-473
44. Grimmet GR. and DR. Stirzaker (2001) Probability and Random Processes, 3rd edn., Oxford University Press, Oxford
45. Keynes JM (1937) General Theory of Employment. Quarterly Journal of Economics
46. Savage LJ (1972) The Foundations of Statistics, 2nd edn. Dover Publications, Inc., New York
47. Allen TT, Bernshteyn M (2003) Supersaturated Designs that Maximize the Probability of Finding the Active Factors. Technometrics 45: 1-8
48. Box GEP, Hunter JS (1961a) The 2k-p fractional factorial designs, part I. Technometrics 3: 311-351
49. Box GEP, Hunter JS (1961b) The 2k-p fractional factorial designs, part II. Technometrics 3:449-458
50. Brady J, Allen T (2002) Case Study Based Instruction of SPC and DOE. The American Statistician 56 (4):1-4
51. Daniel C (1959) Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments. Technometrics 1: 311-341.
52. Fisher RA (1925) Statistical Methods for Research Workers. Oliver and Boyd, London
53. Lenth RV (1989) Quick and Easy Analysis of Unreplicated Factorials. Technometrics 31: 469-473
54. Plackett RL, Burman JP (1946) The Design of Optimum Multifactorial Experiments. Biometrika 33: 303-325
55. Ye K, Hamada M, Wu CFJ (2001) A Step-Down Lenth Method for Analyzing Unreplicated Factorial Designs. Journal of Quality Technology 33:140-152
56. Allen TT, Yu L, Schmitz J (2003) The Expected Integrated Mean Squared Error Experimental Design Criterion Applied to Die Casting Machine Design. Journal of the Royal Statistical Society, Series C: Applied Statistics 52:1-15
57. Box GEP, Behnken DW (1960) Some New Three-Level Designs for the Study of Quantitative Variables. Technometrics 30:1-40
58. Box GEP, Draper NR (1987) Empirical Model-Building and Response Surfaces. Wiley, New York
59. Box GEP, Wilson KB (1951) On the Experimental Attainment of Optimum Conditions. Journal of the Royal Statistical Society, Series B 13:1-45
60. Choudhury AK (1997) Study of the Effect of Die Casting Machine Upon Die Deflections. Master's thesis, Industrial & Systems Engineering, The Ohio State University, Columbus
61. Myers R, Montgomery D (2001) Response Surface Methodology, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
62. Allen TT, Ittiwattana W, Richardson RW, Maul G (2001) A Method for Robust Process Design Based on Direct Minimization of Expected Loss Applied to Arc Welding. The Journal of Manufacturing Systems 20:329-348
63. Allen TT, Richardson RW, Tagliabue D, and Maul G (2002) Statistical Process Design for Robotic GMA Welding of Sheet Metal. The Welding Journal 81(5): 69s-77s
64. Chen LH, Chen YH (1995) A Computer-Simulation-Oriented Design Procedure for a Robust and Feasible Job Shop Manufacturing System. Journal of Manufacturing Systems 14: 1-10
65. Devor R, Chang T, et al. (1992) Statistical Quality Design and Control, p. 47-57. Macmillan, New York
66. Johnson NL, Kotz S, et al. (1995) Continuous Univariate Distributions. John Wiley, New York
67. Lucas JM (1994) How to Achieve a Robust Process Using Response Surface Methodology. Journal of Quality Technology 26: 248-260
68. Myers R, Montgomery D (2001) Response Surface Methodology, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
69. Nair VN, Pregibon D (1986) A Data Analysis Strategy for Quality Engineering Experiments. AT&T Technical Journal: 74-84
70. Rodriguez JF, Renaud JE, et al. (1998) Trust Region Augmented Lagrangian Methods for Sequential Response Surface Approximation and Optimization. Transactions of the ASME Journal of Engineering for Industry 120: 58-66
71. Song AA, Mathur A, et al. (1995) Design of Process Parameters Using Robust Design Techniques and Multiple Criteria Optimization. IEEE Transactions on Systems, Man, and Cybernetics 24: 1437-1446
72. Smith, S and Lasdon L (1992) Solving Large Sparse Nonlinear Programs Using GRG. ORSA Journal on Computing, 4, 1: 2-15.
73. Taguchi G (1987) A System for Experimental Design. UNIPUB, Detroit
74. Taguchi G (1993) Taguchi Methods: Research and Development. In: Konishi S (ed), Quality Engineering Series, vol 1. The American Supplier Institute, Livonia, MI
75. Chantarat N (2003) Modern Design of Experiments For Screening and Experimentations With Mixture and Qualitative Variables. PhD dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
76. Chantarat N, Zheng N, Allen TT, Huang D (2003) Optimal Experimental Design for Systems Involving Both Quantitative and Qualitative Factors. Proceedings of the Winter Simulation Conference, ed RDM Ferrin and P Sanchez
77. Cornell, JA (2002) Experiments with Mixtures, 3rd Edition. Wiley: New York
78. Fisher RA. (1925) Statistical Methods for Research Workers. Oliver and Boyd, London
79. Piepel GF, Cornell JA (1991) A Catalogue of Mixture Experiments. Proceedings of the Joint Statistical Meetings (August 19), Atlanta
80. Scheffé, H (1958) Experiments With Mixtures. Journal of the Royal Statistical Society: Series B 20 (2), 344-360.
81. Allen T, Bernshteyn M, Kabiri K, Yu L (2003) A Comparison of Alternative Methods for Constructing Meta-Models for Computer Experiments. The Journal of Quality Technology, 35(2): 1-17
82. Ben-Akiva M, Steven RL (1985) Discrete Choice Analysis. MIT Press, Cambridge, Mass.
83. Chambers M (2000) Queuing Network Construction Using Artificial Neural Networks. Ph.D. Dissertation. The Ohio State University, Columbus.
84. Cybenko G (1989) Approximations by Superpositions of a Sigmoidal Function. Mathematics of Control, Signals, and Systems. Springer-Verlag, New York
85. Hadj-Alouane AB and Bean JC (1997) A Genetic Algorithm for the Multiplechoice Integer Program. Operations Research, 45: 92-101
86. Hosmer DW, Lemeshow S (1989) Applied Logistic Regression. John Wiley, New York
87. Kohonen T (1989) Self-Organization and Associative Memory (Springer Series in Information Sciences 8)3rd edn. Springer-Verlag, London
88. Legender (1805) Nouvelles méthodes pour la détermination des orbites des comètes. (http://york.ac.uk.depts/maths/histstat/ lifework.htm)
89. Matheron G (1963) Principles of Geostatistics. Economic Geology 58: 1246- 1266
90. McKay MD, Conover WJ, Beckman RJ (1979) A comparison of three methods for selection values of input variables in the analysis of output from a computer code. Technometrics 21: 239-245
91. Reed RD, Marks RJ (1999) Neural Smithing: Supervised Learning and Feed-Forward Artificial Neural Net. MIT Press, Cambridge, Mass.
92. Ribardo C (2000) Desirability Functions for Comparing Parameter Optimization Methods and For Addressing Process Variability Under Six Sigma Assumptions, PhD dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
93. Rumelhart DE, McClelland JL (eds.) (1986) Parallel Distributed Processing: Exploration in the Microstructure of Cognition. (Foundations, vol. 1). MIT Press: Cambridge, Mass.
94. Sacks J, Welch W, Mitchell T, Wynn H (1989) Design and Analysis of Computer Experiment. Statistical Science 4: 409-435
95. Sandor Z, Wedel M (2001) Designing Conjoint Choice Experiments Using Managers' Prior Beliefs. Journal of Marketing Research XXXVIII: 430-444
96. Welch WJ (1983) A Mean Squared Error Criterion for the Design of Experiments. Biometrika 70: 205-213
97. Welch WJ, Buck, RJ, Sacks J, Wynn HP, Mitchell TJ, Morris MD (1992) Screening, Predicting, and Computer Experiments. Technometrics 34: 15-25
98. Allen TT, Yu L (2002) Low Cost Response Surface Methods For and From Simulation Optimization. Quality and Reliability Engineering International 18: 5-17
99. Allen TT, Yu L, Bernshteyn M (2000) Low Cost Response Surface Methods Applied to the Design of Plastic Snap Fits. Quality Engineering 12: 583-591
100. Brady J, Allen T (2002) Case Study Based Instruction of SPC and DOE. The American Statistician 56 (4):1-4
101. Myers RH, Montgomery DA (2001) Response Surface Methodology, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
102. Allen TT, Bernshteyn M (2003) Supersaturated Designs that Maximize the Probability of Finding the Active Factors. Technometrics 45: 1-8
103. Allen TT, Yu L, Schmitz J (2003) The Expected Integrated Mean Squared Error Experimental Design Criterion Applied to Die Casting Machine Design. Journal of the Royal Statistical Society, Series C: Applied Statistics 52:1-15
104. Allen TT, Yu L (2002) Low Cost Response Surface Methods For and From Simulation Optimization. Quality and Reliability Engineering International 18: 5-17
105. Allen TT, Yu L, Bernshteyn M (2000) Low Cost Response Surface Methods Applied to the Design of Plastic Snap Fits. Quality Engineering 12: 583-591
106. Box GEP, Draper NR (1959) A Basis for the Selection of a Response Surface Design. Journal of American Statistics Association 54: 622-654
107. Box GEP, Draper NR (1987) Empirical Model-Building and Response Surfaces. Wiley, New York
108. DuMouchel W, Jones B (1994) A Simple Bayesian Modification of D-Optimal Designs to Reduce Dependence on a Assumed Model. Technometrics 36:37-47
109. Huang D, Allen T (2005) Design and Analysis of Variable Fidelity Experimentation Applied to Engine Valve Heat Treatment Process Design. The Journal of the Royal Statistical Society (Series C) 54(2):1-21
110. Grimmet GR. and DR. Stirzaker (2001) Probability and Random Processes, 3rd edn., Oxford University Press, Oxford
111. Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1993) Numerical Recipes in C: The Art of Scientific Computing, 2nd edn. Cambridge University Press, New York (also available on-line through www.nr.com)
112. Simmons GF (1996) Calculus with Analytic Geometry, 2nd edn. McGraw Hill, New York
113. Aizawa AN, Wah BW (1994) Scheduling of Genetic Algorithms in a Noisy Environment. Evolutionary Computation 2:97-122
114. Allen TT, Bernshteyn M (2003) Supersaturated Designs that Maximize the Probability of Finding the Active Factors. Technometrics 45: 1-8
115. Andradóttir S (1998) A Review of Simulation Optimization Techniques. Proceedings of the 1998 Winter Simulation Conference, Washington, DC
116. Bernshteyn M (2001) Simulation Optimization Methods That Combine Multiple Comparisons and Genetic Algorithms with Applications in Design for Computer and Supersaturated Experiments. Ph.D. Dissertation. The Ohio State University, Columbus, Ohio.
117. Boesel J (1999) Search and selection for large-scale stochastic optimization. Ph.D. Dissertation. Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois
118. Chelouah R, Siarry P (2000) A Continuous Genetic Algorithm Designed for the Global Optimization of Multimodal Functions. Journal of Heuristics 6:191-213
119. De Jong KA (1975) An Analysis of the Behavior of a Class of Genetic Adaptive Systems, Ph.D. Dissertation. The University of Michigan, Ann Arbor
120. Holland J (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor
121. Ittiwattana W (2002) A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations, Ph.D. Dissertation. The Ohio State University, Columbus, Ohio
122. Mühlenbein H, Schomish M, Born J (1991) The parallel genetic algorithm as function optimizer. Proceedings of the International Conference on Genetic Algorithms, 271-278
123. Papadimitriou CH (1994) Computational Complexity. Addison-Wesley, Boston, MA
124. Rechenberg I (1964) Kybernetische losungsansteuerung einer experimentellen forschungsaufgabe. Seminarvortrag, Hermann-Fottinger-Institut fur Stromungstechnik der Technische Universitat, Berlin
125. Rudolph G (1996) Convergence of Evolutionary Algorithms in General Search Spaces. Proceedings of the Third IEEE Conference on Evolutionary Computation. IEEE Press, Piscataway, NJ, 50-54.
126. Swisher TR, Hyden PD, Jacobson SH, Schruben LW (2000) A Survey of Simulation Optimization Techniques and Procedures. In: Joines JA, Barton
127. RR, Kang K, Fishwick PA. Proceedings of the 2000 Winter Simulation Conference 1: 119-128
128. Yu L (2000) Expected Modeling Errors and Low Cost Response Surface Methods, Ph.D. Dissertation. The Ohio State University, Columbus, Ohio
129. Krulikowski A (1997) Geometric Dimensioning and Tolerancing. Thomson Delmar Learning, Albany, NY
130. Allen TT, Yu L, Schmitz J (2003) The Expected Integrated Mean Squared Error Experimental Design Criterion Applied to Die Casting Machine Design.
131. Journal of the Royal Statistical Society, Series C: Applied Statistics 52:1-15
132. Allen TT, Bernshteyn M (2003) Supersaturated Designs that Maximize the Probability of Finding the Active Factors. Technometrics 45: 1-8
133. Bisgaard S, Freiesleben J (2000) Quality Quandaries: Economics of Six Sigma Program. Quality Engineering 13: 325-331
134. Box GEP, Hunter JS (1961) The 2k-p fractional factorial designs, part I. Technometrics 3: 311-351
135. Brady JE (2005) Six Sigma and the University: Research, Teaching, and Meso-Analysis. PhD dissertation, Industrial & Systems Engineering, The Ohio State University, Columbus
136. Brady JE, Allen TT (accepted) Six Sigma: A Literature Review and Suggestions for Future Research. Quality and Reliability Engineering International (special issue) Douglas Montgomery, ed.
137. DeGroot MH (1970) Optimal Statistical Decisions. McGraw-Hill, New York
138. Goh TN, Low PC, Tsui KL, Xie M (2003) Impact of Six Sigma implementation on stock price performance. Total Quality Management & Business Excellence 14:753-763
139. Hoerl RW (2001) Six Sigma Black Belts: What Do They Need to Know? The Journal of Quality Technology 33:391-406
140. Hazelrigg G (1996) System Engineering: An Approach to Information-Based Design. Prentice Hall, Upper Saddle River, NJ
141. Montgomery D (2001) Editorial, Beyond Six Sigma. Quality and Reliability Engineering International 17(4):iii-iv
142. Puterman ML (1994) Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons, Inc., New York
143. Ribardo C, Allen TT (2003) An Alternative Desirability Function For Achieving Six Sigma Quality. Quality and Reliability Engineering International 19:1-14
144. Shewhart WA (1931) Economic Quality Control of Manufactured Product. ASQ, Milwaukee, WI (reprinted 1980)
145. Welch J, Welch S (2005) Winning. HarperBusiness, New York
146. Box GEP, Draper NR (1987) Empirical Model-Building and Response Surfaces. Wiley, New York
147. Besterfield D (2001) Quality Control. Prentice Hall, Columbus, OH
148. Breyfogle FW (2003) Implementing Six Sigma: Smarter Solutions® Using Statistical Methods, 2nd edn. Wiley, New York
149. Dean A, Voss DT (1999) Design and Analysis of Experiments. Springer, Berlin Heidelberg New York
150. Fedorov V, Hackl P (1997) Model-Oriented Design of Experiments. Springer, Berlin Heidelberg New York
151. Harry MJ, Schroeder R (1999) Six Sigma, The Breakthrough Management Strategy Revolutionizing The World's Top Corporations. Bantam Doubleday Dell, New York
152. Montgomery DC (2000) Design and Analysis of Experiments, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
153. Montgomery DC (2001) Statistical Quality Control, 4th edn. John Wiley & Sons, Inc., Hoboken, NJ
154. Myers RH, Montgomery DA (2001) Response Surface Methodology, 5th edn. John Wiley & Sons, Inc., Hoboken, NJ
155. Pande PS, Neuman RP, Cavanagh R (2000) The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. McGraw-Hill, New York
156. Taguchi G (1993) Taguchi Methods: Research and Development. In Konishi S (ed.) Quality Engineering Series, vol 1. The American Supplier Institute, Livonia, MI
157. Wu CFJ, Hamada M (2000) Experiments: Planning, Analysis, and Parameter Design Optimization. Wiley, New York