A review of methods for measurement systems capability analysis

Journal of Quality Technology

Volumn 35, Issue 4, 2003, Pages 342-354

  Burdick, Richard K ^a   Borror, Connie M ^b   Montgomery, Douglas C ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b Arizona State University   (United States)

Author keywords

Analysis of variance; Confidence intervals; Gauge studies; Repeatability; Reproducibility; Variance components

Indexed keywords

CALIBRATION; COMPUTATIONAL METHODS; ESTIMATION; MULTIVARIABLE SYSTEMS; SYSTEMS ANALYSIS;

MEASUREMENT SYSTEMS CAPABILITY ANALYSIS; TWO FACTOR DESIGN; VARIANCE APPROACH;

MEASUREMENTS;

EID: 1442324285     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.2003.11980232     Document Type: Article

References (49)

1. Adamec, E. and Burdick, R. K. (2003). "Confidence Intervals for a Discrimination Ratio in a Gauge R&R Study with Three Random Factors". Quality Engineering 15, pp. 383-389.
2. Automotive Industry Action Group (1995). Measurement Systems Analysis, 2nd ed. Detroit, MI.
3. Automotive Industry Action Group (2002). Measurement Systems Analysis, 3rd ed. Detroit, MI.
4. Ballard, D. H.; McCormack, JR., D. W.; Moore, T. L.; Prins, J.; Tobias, P. A.; and Pore, M. (1997). "A Comparison of Gauge Study Practices". ASA Proceedings of the Section on Quality and Productivity, pp. 31-36.
5. Barrentine, L. B. (1991). Concepts for R&R Studies. ASQC Quality Press Milwaukee, WI.
6. Bergeret, F.; Maubert, S.; Sourd, P.; and Puel, F. (2001). "Improving and Applying Destructive Gauge Capability". Quality Engineering 14, pp. 59-66.
7. Borror, C. M.; Montgomery, D. C.; and Runger, G. C. (1997). "Confidence Intervals for Variance Components from Gauge Capability Studies". Quality and Reliability Engineering International 13, pp. 361-369.
8. Boyles, R. A. (2001). "Gauge Capability for Pass-Fail Inspection". Technometrics 43, pp. 223-229.
9. Burdick, R. K.; Allen, A. E.; and Larsen, G. A. (2002). "Comparing Variability of Two Measurement Processes Using R&R Studies". Journal of Quality Technology 34, pp. 97-105.
10. Burdick, R. K. and Graybill, F. A. (1992). Confidence Intervals on Variance Components. Marcel Dekker, New York, NY.
11. Burdick, R. K. and Larsen, G. A. (1997). "Confidence Intervals on Measures of Variability in R&R Studies". Journal of Quality Technology 29, pp. 261-273.
12. Chiang, A. K. L. (2001). "A Simple General Method for Constructing Confidence Intervals for Functions of Variance Components". Technometrics 43, pp. 356-367.
13. Chiang, A. K. L. (2002). "Improved Confidence Intervals for a Ratio in an R&R Study". Communications in Statistics - Simulation and Computation 31, pp. 329-344.
14. Conors, M.; Merrill, K.; and O'Donnell, B. (1995). "A Comprehensive Approach to Measurement System Evaluation". ASA Proceedings of the Section on Physical and Engineering Sciences, pp. 136-138.
15. Croarkin, C., Editor (2002). "Gauge R&R Studies". Section 2.4 of the Beta Version of the NIST/SEMATECH Engineering Statistics Internet Handbook. Located at http://www.itl/nist.gov/div898/handbook/.
16. Deutler, T. (1991). "Grubbs-Type Estimators for Reproducibility Variances in an Interlaboratory Test Study". Journal of Quality Technology 23, pp. 324-335.
17. Doganaksoy, N. (2000). "Assessment of Impact of Measurement Variability in the Presence of Multiple Sources of Product Variability". Quality Engineering 13, pp. 83-89.
18. Dolezal, K. K.; Burdick, R. K.; and Birch, N. J. (1998). "Analysis of a Two-Factor R&R Study With Fixed Operators". Journal of Quality Technology 30, pp. 163-170.
19. Engel, J. and De Vries, B. (1997). "Evaluating a Well-Known Criterion for Measurement Precision". Journal of Quality Technology 29, pp. 469-476.
20. Graybill, F. A. and Wang, C. M. (1980). "Confidence Intervals on Nonnegative Linear Combinations of Variances". Journal of the American Statistical Association 75, pp. 869-873.
21. Hamada, M. and Weerahandi, S. (2000). "Measurement System Assessment Via Generalized Inference". Journal of Quality Technology 32, pp. 241-253.
22. Horrell, K. (1991). Introduction to Measurement Capability Analysis. SEMATECH report 91090709A-ENG.
23. Houf, R. E. and Berman, D. B. (1988). "Statistical Analysis of Power Module Thermal Test Equipment Performance". IEEE Transactions on Components, Hybrids, and Manufacturing Technology 11, pp. 516-520.
24. JMP 4.0.4 (2001). SAS Institute, Inc. Cary, NC.
25. John, P. (1994). Alternative Models for Gauge Studies. SEMATECH report 93081755A-TR.
26. Lai, Y. W. and Chew, E. P. (2000). "Gauge Capability Assessment for High-Yield Manufacturing Processes with Truncated Distribution". Quality Engineering 13, pp. 203-210.
27. Larsen, G. (2002). "Measurement System Analysis: The Usual Metrics Can Be Noninformative". Quality Engineering 15, pp. 293-298.
28. Larsen, G. (2003). "Measurement System Analysis in a Production Test Environment with Multiple Test Parameters". Quality Engineering, to appear.
29. Leiva, R. A. and Graybill, F. A. (1986). "Confidence Intervals for Variance Components in the Balanced Two-Way Model With Interaction". Communications in Statistics - Simulation and Computation 15, pp. 301-322.
30. Majeske, K. D. and Andrews, R. W. (2002). "Evaluating Measurement Systems and Manufacturing Processes Using Three Quality Measures". Quality Engineering 15, pp. 243-251.
31. Mader, D. P.; Prins, J.; and Lampe, R. E. (1999). "The Economic Impact of Measurement Error". Quality Engineering 11, pp. 563-574.
32. MINITAB 13 (2001). Minitab Inc., State College, PA.
33. Mitchell, T.; Hegemann, V.; and Liu, K. C. (1997). "GRR Methodology for Destructive Testing and Quantitative Assessment of Gauge Capability for One-Side Specifications" in Statistical Case Studies for Industrial Process Improvement edited by V. Czitrom and P. D. Spagon, SIAM, Philadelphia, pp. 47-59.
34. Montgomery, D. C. and Runger, G. C. (1993a). "Gauge Capability and Designed Experiments. Part I: Basic Methods". Quality Engineering 6, pp. 115-135.
35. Montgomery, D. C. and Runger, G. C. (1993b). "Gauge Capability Analysis and Designed Experiments. Part II: Experimental Design Models and Variance Component Estimation". Quality Engineering 6, pp. 289-305.
36. Montgomery, D. C. and Runger, G. C. (1993b). "Gauge Capability Analysis and Designed Experiments. Part II: Experimental Design Models and Variance Component Estimation". Quality Engineering 6, pp. 289-305.
37. Morchower, N. D. (1999). "Two-Location Gauge Evaluation". Quality Engineering 32/4, pp. 79-86.
38. NCSS (2001). NCSS Statistical Software, Kaysville, UT.
39. Phillips, A. R.; Jeffries, R.; Schneider, J.; and Frankoski, S. P. (1997). "Using Repeatability and Reproducibility Studies to Evaluate a Destructive Test Method". Quality Engineering 10, pp. 283-290.
40. SAS 8.2 (2001). SAS Institute, Inc., Cary, NC.
41. STATGRAPHICS PLUS 5.0 (2000). Manugistics, Inc. Rockville, MD.
42. STATISTICA 6.0 (2001). Statsoft, Inc., Tulsa, OK.
43. Tsui, K. and Weerahandi, S. (1989). "Generalized p-values in Significance Testing of Hypothesis in the Presence of Nuisance Parameters". Journal of the American Statistical Association 84, pp. 602-607.
44. Van Den Heuvel, E. R. and Trip, A. (2002). "Evaluation of Measurement Systems with a Small Number of Observers". Quality Engineering 15, pp. 323-331.
45. Vandeman, S. B. and Van Valkenburg, E. S. (1999). "Two-Way Random-Effects Analyses and Gauge R&R Studies". Technometrics 41, pp. 202-211.
46. Voelkel, J. G. (2003). "Gauge R&R Analysis for Two-Dimensional Data with Circular Tolerances". Journal of Quality Technology 35, pp. 153-167.
47. Weerahandi, S. (1993). "Generalized Confidence Intervals". Journal of the American Statistical Association 88, pp. 899-905.
48. Wheeler, D. J. (1992). "Problems With Gauge R&R Studies". ASQC Quality Congress Transactions, pp. 179-185.
49. Wheeler, D. J. and Lyday, R. W. (1989). Evaluating the Measurement Process. SPC Press, Knoxville, TN.