Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 考慮兩階段相依製程下量測誤差對指數加權移動平均管制圖之效應研究
Effects of Measurement Error on EWMA Control Charts for Two-Step Process
作者 何漢葳
Ho, Han-Wei
貢獻者 楊素芬 博士
Dr. Su-Fen Yang
何漢葳
Ho, Han-Wei
關鍵詞 Imprecise measurement
Dependent processes
EWMA control chart
Cause-selecting
日期 2002
上傳時間 18-Sep-2009 19:08:54 (UTC+8)
摘要 
In this article, a two-step process is considered to investigate the effects of measurement errors on EWMA
     and cause-selecting EWMA control charts. At the end of current process, a pair of imprecise measurements of in-coming quality and out-going quality is randomly taken with individual units.
     The linear relationship between in-coming quality and out-going quality is assumed and four possible states of the process are defined with respective distributions of in-coming and out-going
     qualities derived. The EWMA control chart with measurement error is then constructed to monitor small-scale shift in mean for the previous process while the cause-selecting control chart, or EWMA control chart based on residuals, including measurement error, is proposed to diagnose the state of current process.
      Based on sensitivity analysis, the presence of imprecise measurement diminishes the power of both the EWMA and the proposed control charts and affects the detectability of process disturbances. Further, applications of proposed control charts are demonstrated through a numerical example to show some possible misuses of control charts. If the process mean shifts in a small scale when a single assignable cause occurs on each step, the proposed cause-selecting control chart is more sensitive than other control charts. The Hotelling T^2 control chart is also compared to illustrate the diagnostic advantage outweighed by proposed cause-selecting control chart.
參考文獻 Abraham, B. (1977), “Control Charts and Measurement Error,” Annual Technical Conference of the American Society for Quality Control 31, 370-374.
Bennett, C. (1954), “Effects of Measurement Error on Chemical Process Control,” Industrial Quality Control 10, No. 4, 17-20.
Bordignon, S. and Scagliarini M. (2002), “Statistical Analysis of Process Capability Indiced With Measurement Errors,” Quality and Reliability Engineering International 18, 321-332.
Crowder, S. V. (1987a), “A Simple Method for Studying Run Length Distributions of Exponentially
Weighted Moving Average Charts,” Technometrics 29, 401-407.
Crowder, S. V. (1987b), “Average Run Lengths of Exponentially Weighted Moving Average Charts,” Journal of Quality Technology 18, 203-210.
Crowder, S. V. (1989), “Design of Exponentially Weighted Moving Average Schemes,” Journal of Quality Technology 21, 155-162.
Holmes, D. S. and Mergen A. E. (1993), “Improving the Performance of the T^2 Control Chart,” Quality Engineering, 5.
Hotelling, H. (1947), “Multivariate Quality Control,” Techniques of Statistical Analysis, edited by Eisenhart, Hastay, and Wallis, McGraw-Hill, New York.
Johnson, R. A. and Wichern, D. W. (2002), Applied Multivariate Statistical Analysis, 5th edition, Prentice-Hall, Inc.
Kanazuka, T. (1986), “The Effects of Measurement Error on the Power of X-bar-R charts,”Journal of Quality Technology 18, 91-95.
Linna, K.W. andWoodall, W. H. (2001), “Effect of Measurement Error on Shewhart Control Charts,” Journal of Quality Technology 33, 213-222.
Lowry, C. A., Woodall, W. H., Champ C. W. and Rigdon S. E. (1992), “A Multivariate Exponentially Weighted Moving Average Control Chart,” Technometrics 34, 46-53.
Mittag, H.-J. (1993), Qualitatsregelkarten (Munich, Hanser).
Mittag, H.-J. (1995), “Measurement Error Effect on Control Chart Performance,” Annual Proceedings of the American Society for Quality Control 49, 66-73.
Mittag, H.-J. and Stemann, D (1993), “Effekte Stochastistcher Mesfehler bei der Anwendung von Shewhart-Regelkarten zur Streuungsuberwachung,” Allgemeines Statistisches Archiv 77, 240-259.
Mittag, H.-J. and Stemann, D (1998), “Gauge Imprecision Effect on the Performance of the X-bar-S Control Chart,” Journal of Applied Statistics 25, No.3, 307-317.
Mizuno, S. (1961), “Problems of Measurement Errors in Process Control,” Bulletin of the International Statistical Institute 38, 405-415.
Montgomery, D. C. (2001). Introduction to Statistical Quality Control, 4th edition, Wiley, New York.
Prabhu, S. S., and Runger, G. C. (1997), “Designing a Mulrivariate EWMA Control Chart,”Journal of Quality Technology 29, 8-15.
Rabinovich, S. G. (2000), Measurement Errors and Uncertainties, 2nd edition, Springer-Verlag New York, Inc.
Rahim, A. (1985), “Economic Model of X-bar Charts Under Non-normality and Measurement Error,” Computers and Operations Research 12, No. 3, 291-299.
Robers, S. W. (1959), “Control Chart Tests Based on Geometric Moving Averages,” Technometrics 1, 239-250.
Sullivan, J. H., and Woodall, W. H. (1996), “A Comparison of Multivariate Quality Control Charts for Individual Observations,” Journal of Quality Technology 28, 398-408.
Tricker, A., Coates, E., and Okell, E. (1998), “The Effect on the R Chart of Precision Measurement,” Journal of Quality Technology 30, 232-239.
Walden, C. T. (1990), “An Analysis of Variables Control Charts in the Presence of Measurement Error,” Unpublished Master’s Thesis, Department of Industrial Engineering,
Mississippi State University, UMI No. 1343291.
Woodall, W. H. and Thomas E. V. (1995), “Statistical Process Control With Several Components of Common Cause Variability,” IIE Transactions 27, 757-764.
Yang, S. (2002), “The Effects of Imprecise Measurement on the Economic Asymmetric X-bar and S Control Charts,” The Asian Journal on Quality 3, No. 2, 46-55.
Yang, S. and Chen, Y. (2003), “Processes Control for Two Failure Mechanisms,” Journal of the Chinese Institute of Industrial Engineers. (To Appear)
描述 碩士
國立政治大學
統計研究所
90354015
91
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0090354015
資料類型 thesis
dc.contributor.advisor 楊素芬 博士zh_TW
dc.contributor.advisor Dr. Su-Fen Yangen_US
dc.contributor.author (Authors) 何漢葳zh_TW
dc.contributor.author (Authors) Ho, Han-Weien_US
dc.creator (作者) 何漢葳zh_TW
dc.creator (作者) Ho, Han-Weien_US
dc.date (日期) 2002en_US
dc.date.accessioned 18-Sep-2009 19:08:54 (UTC+8)-
dc.date.available 18-Sep-2009 19:08:54 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 19:08:54 (UTC+8)-
dc.identifier (Other Identifiers) G0090354015en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36659-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計研究所zh_TW
dc.description (描述) 90354015zh_TW
dc.description (描述) 91zh_TW
dc.description.abstract (摘要) zh_TW
dc.description.abstract (摘要) In this article, a two-step process is considered to investigate the effects of measurement errors on EWMA
     and cause-selecting EWMA control charts. At the end of current process, a pair of imprecise measurements of in-coming quality and out-going quality is randomly taken with individual units.
     The linear relationship between in-coming quality and out-going quality is assumed and four possible states of the process are defined with respective distributions of in-coming and out-going
     qualities derived. The EWMA control chart with measurement error is then constructed to monitor small-scale shift in mean for the previous process while the cause-selecting control chart, or EWMA control chart based on residuals, including measurement error, is proposed to diagnose the state of current process.
      Based on sensitivity analysis, the presence of imprecise measurement diminishes the power of both the EWMA and the proposed control charts and affects the detectability of process disturbances. Further, applications of proposed control charts are demonstrated through a numerical example to show some possible misuses of control charts. If the process mean shifts in a small scale when a single assignable cause occurs on each step, the proposed cause-selecting control chart is more sensitive than other control charts. The Hotelling T^2 control chart is also compared to illustrate the diagnostic advantage outweighed by proposed cause-selecting control chart.
en_US
dc.description.tableofcontents 1 INTRODUCTION.................................................1
     2 PROCESS DESCRIPTION..........................................6
     2.1 Assumptions and Notations..................................6
     2.2 The Relationships Between Xo and Yo........................8
     3 DISTRIBUTIONS OF Xo AND Yo...................................9
     3.1 The Previous and Current Processes Are Both In Control.....9
     3.2 AC1 Occurs in the Previous Process But the Current Process Is in Control.................................................10
     3.3 AC2 Occurs in the Current Process But the Previous Process Is In Control.................................................10
     3.4 AC1 Occurs in the Previous Process and AC2 Occurs in the Current Process...............................................11
     4 CONSTRUCTIONS OF CONTROL CHARTS.............................13
     4.1 EWMA Control Chart for the Previous Process...............13
     4.2 Cause-Selecting Control Chart for the Current Process.....14
     5 ARL CALAULATION.............................................17
     5.1 The Previous and Current processes Are Both In Control....18
     5.2 AC1 Occurs in the Previous Process but the Current Process Is In Control.................................................18
     5.3 AC2 Occurs in the Current Process but the Previous Process Is In Control.................................................19
     5.4 AC1 Occurs in the Previous Process and AC2 Occurs in the Current Process...............................................19
     6 SENSITIVITY ANALYSIS........................................20
     7 A NUMERICAL EXAMPLE.........................................24
     7.1 Control Procedures for the EWMA and Cause-Selecting Control Charts........................................................25
     7.2 Comparisons with Other Univariate Control Charts..........27
     7.2.1 Construction of control limits..........................28
     7.2.2 Monitoring results......................................35
     7.3 Comparisons withMultivariate Control Charts...............38
     8 CONCLUSIONS.................................................42
     APPENDIX......................................................43
     REFERENCES....................................................55
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0090354015en_US
dc.subject (關鍵詞) Imprecise measurementen_US
dc.subject (關鍵詞) Dependent processesen_US
dc.subject (關鍵詞) EWMA control charten_US
dc.subject (關鍵詞) Cause-selectingen_US
dc.title (題名) 考慮兩階段相依製程下量測誤差對指數加權移動平均管制圖之效應研究zh_TW
dc.title (題名) Effects of Measurement Error on EWMA Control Charts for Two-Step Processen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Abraham, B. (1977), “Control Charts and Measurement Error,” Annual Technical Conference of the American Society for Quality Control 31, 370-374.zh_TW
dc.relation.reference (參考文獻) Bennett, C. (1954), “Effects of Measurement Error on Chemical Process Control,” Industrial Quality Control 10, No. 4, 17-20.zh_TW
dc.relation.reference (參考文獻) Bordignon, S. and Scagliarini M. (2002), “Statistical Analysis of Process Capability Indiced With Measurement Errors,” Quality and Reliability Engineering International 18, 321-332.zh_TW
dc.relation.reference (參考文獻) Crowder, S. V. (1987a), “A Simple Method for Studying Run Length Distributions of Exponentiallyzh_TW
dc.relation.reference (參考文獻) Weighted Moving Average Charts,” Technometrics 29, 401-407.zh_TW
dc.relation.reference (參考文獻) Crowder, S. V. (1987b), “Average Run Lengths of Exponentially Weighted Moving Average Charts,” Journal of Quality Technology 18, 203-210.zh_TW
dc.relation.reference (參考文獻) Crowder, S. V. (1989), “Design of Exponentially Weighted Moving Average Schemes,” Journal of Quality Technology 21, 155-162.zh_TW
dc.relation.reference (參考文獻) Holmes, D. S. and Mergen A. E. (1993), “Improving the Performance of the T^2 Control Chart,” Quality Engineering, 5.zh_TW
dc.relation.reference (參考文獻) Hotelling, H. (1947), “Multivariate Quality Control,” Techniques of Statistical Analysis, edited by Eisenhart, Hastay, and Wallis, McGraw-Hill, New York.zh_TW
dc.relation.reference (參考文獻) Johnson, R. A. and Wichern, D. W. (2002), Applied Multivariate Statistical Analysis, 5th edition, Prentice-Hall, Inc.zh_TW
dc.relation.reference (參考文獻) Kanazuka, T. (1986), “The Effects of Measurement Error on the Power of X-bar-R charts,”Journal of Quality Technology 18, 91-95.zh_TW
dc.relation.reference (參考文獻) Linna, K.W. andWoodall, W. H. (2001), “Effect of Measurement Error on Shewhart Control Charts,” Journal of Quality Technology 33, 213-222.zh_TW
dc.relation.reference (參考文獻) Lowry, C. A., Woodall, W. H., Champ C. W. and Rigdon S. E. (1992), “A Multivariate Exponentially Weighted Moving Average Control Chart,” Technometrics 34, 46-53.zh_TW
dc.relation.reference (參考文獻) Mittag, H.-J. (1993), Qualitatsregelkarten (Munich, Hanser).zh_TW
dc.relation.reference (參考文獻) Mittag, H.-J. (1995), “Measurement Error Effect on Control Chart Performance,” Annual Proceedings of the American Society for Quality Control 49, 66-73.zh_TW
dc.relation.reference (參考文獻) Mittag, H.-J. and Stemann, D (1993), “Effekte Stochastistcher Mesfehler bei der Anwendung von Shewhart-Regelkarten zur Streuungsuberwachung,” Allgemeines Statistisches Archiv 77, 240-259.zh_TW
dc.relation.reference (參考文獻) Mittag, H.-J. and Stemann, D (1998), “Gauge Imprecision Effect on the Performance of the X-bar-S Control Chart,” Journal of Applied Statistics 25, No.3, 307-317.zh_TW
dc.relation.reference (參考文獻) Mizuno, S. (1961), “Problems of Measurement Errors in Process Control,” Bulletin of the International Statistical Institute 38, 405-415.zh_TW
dc.relation.reference (參考文獻) Montgomery, D. C. (2001). Introduction to Statistical Quality Control, 4th edition, Wiley, New York.zh_TW
dc.relation.reference (參考文獻) Prabhu, S. S., and Runger, G. C. (1997), “Designing a Mulrivariate EWMA Control Chart,”Journal of Quality Technology 29, 8-15.zh_TW
dc.relation.reference (參考文獻) Rabinovich, S. G. (2000), Measurement Errors and Uncertainties, 2nd edition, Springer-Verlag New York, Inc.zh_TW
dc.relation.reference (參考文獻) Rahim, A. (1985), “Economic Model of X-bar Charts Under Non-normality and Measurement Error,” Computers and Operations Research 12, No. 3, 291-299.zh_TW
dc.relation.reference (參考文獻) Robers, S. W. (1959), “Control Chart Tests Based on Geometric Moving Averages,” Technometrics 1, 239-250.zh_TW
dc.relation.reference (參考文獻) Sullivan, J. H., and Woodall, W. H. (1996), “A Comparison of Multivariate Quality Control Charts for Individual Observations,” Journal of Quality Technology 28, 398-408.zh_TW
dc.relation.reference (參考文獻) Tricker, A., Coates, E., and Okell, E. (1998), “The Effect on the R Chart of Precision Measurement,” Journal of Quality Technology 30, 232-239.zh_TW
dc.relation.reference (參考文獻) Walden, C. T. (1990), “An Analysis of Variables Control Charts in the Presence of Measurement Error,” Unpublished Master’s Thesis, Department of Industrial Engineering,zh_TW
dc.relation.reference (參考文獻) Mississippi State University, UMI No. 1343291.zh_TW
dc.relation.reference (參考文獻) Woodall, W. H. and Thomas E. V. (1995), “Statistical Process Control With Several Components of Common Cause Variability,” IIE Transactions 27, 757-764.zh_TW
dc.relation.reference (參考文獻) Yang, S. (2002), “The Effects of Imprecise Measurement on the Economic Asymmetric X-bar and S Control Charts,” The Asian Journal on Quality 3, No. 2, 46-55.zh_TW
dc.relation.reference (參考文獻) Yang, S. and Chen, Y. (2003), “Processes Control for Two Failure Mechanisms,” Journal of the Chinese Institute of Industrial Engineers. (To Appear)zh_TW