Literature Review on the Statistical Quality Control in Journal of the KSQM for 50 Years

Purpose: This paper reviews the papers on statistical quality control issues which are published in Journal of the Korean Society for Quality Management (KSQM) since 1965. The literature review is purposed to survey a variety of statistical quality control issues. Methods: By grouping all of statistical quality control issues into 3 categories:; quality inspections, control charts, and process capability analysis. Results: Grouping all of papers on statistical quality control published in journal of the KSQM for 50 years into 3 categories, we provide a chronological roadmap for individual categories, and summarize the contents and contributions of surveyed papers. Conclusion: The review paper is expected to provide future direction to improve statistical quality control theories and applications in manufacturing and service industries.

[1]  Suh-Ill Song,et al.  Development of VSI Synthetic Control Chart , 2005 .

[2]  Tae-Jin Lim,et al.  Economic-Statistical Design of VSSI Cause-Selecting Charts Considering Two Assignable Causes , 2009 .

[3]  Joong-Jae Cho,et al.  Better Statistical Test for Process Capability Index $C_p$ , 2006 .

[4]  Min-Young Jung,et al.  Design of Screening Procedures Using a Surrogate Variable with Specified Producer's and Consumer's Risks , 2009 .

[5]  Sung-Hoon Hong,et al.  Effects of Limited Capacity on Tolerance Design for Products With N-Type Quality Characteristics , 2008 .

[6]  Moon-Hee Yang,et al.  Detection of Changes of the Population Fraction Nonconforming in the p Control Chart , 1997 .

[7]  Tae-Jin Lim,et al.  Economic-Statistical Design of VSI Run Rules Charts , 2009 .

[8]  Jin-Young Park,et al.  Statistical Design of X Control Chart with Improved 2-of-3 Main and Supplementary Runs Rules , 2012 .

[9]  Yoon-Dong Lee,et al.  Cusum Control Chart for Monitoring Process Variance , 2005 .

[10]  Lim Tae-Jin,et al.  Statistical Efficiency of VSSI $\bar{X}$ Control Charts for the Process with Two Assignable Causes , 2004 .

[11]  Dong-Hyuk Kim,et al.  The Design of Robust Control Chart for A Contaminated Process , 2012 .

[12]  Min-Koo Lee Economic Selection of Optimum Process Mean for a Mixture Production Process , 2005 .

[13]  Min-Koo Lee,et al.  Economic Design of $\bar{X}$ Control Chart Using a Surrogate Variable , 2009 .

[14]  Yun-Bae Kim,et al.  $\bar{X}$ control charts of automcorrelated process using threshold bootstrap method , 2000 .

[15]  Seoung Bum Kim,et al.  Local T 2 Control Charts for Process Control in Local Structure and Abnormal Distribution Data , 2012 .

[16]  Tae-Jin Lim A Comparative Study on the Design of Adaptive Control Charts , 2008 .

[17]  Yoon-Dong Lee,et al.  A New Performance Criterion for Cusum Control Chart , 2005 .

[18]  Sangwon Park,et al.  Sampling Procedures Enhancement in Government Defense Quality Assurance Procedures: Case Studies in Combat Force Support Material & Ammunition Areas , 2012 .

[19]  Jeong-Hyeong Lee,et al.  CUSUM of Squares Chart for the Detection of Variance Change in the Process , 1998 .

[20]  Lim Tae-Jin,et al.  An Adaptive Synthetic Control Chart for Detecting Shifts in the Process Mean , 2004 .

[21]  Noel A Cressie,et al.  Empirical Bayes estimation in sampling inspection , 1985 .

[22]  Young Bok Kim,et al.  Statistical design of Shewhart control chart with runs rules , 2008 .

[23]  홍성훈,et al.  ISO/DIS 2859-1(1997), 계수조정형 샘플링 검사규격 , 1999 .

[24]  이충훈,et al.  On the Confidence Region of Vector-valued Process Capability Indices Cp & Cpk , 2002 .

[25]  Jae-Won Paik,et al.  The Z-CUSUM Control Chart for the Process with Recurring Cycles or Frequent Small Shifts , 2004 .

[26]  이경택,et al.  An Economic Design of Variable Sampling Interval Χ Control Charts , 1995 .

[27]  Jin-Young Park,et al.  Control Chart with Runs Rules: A Review , 2012 .

[28]  Jooho Lee,et al.  Economic Design of -Control Charts with Warning Limits under Weibull Failure Model , 2012 .

[29]  Young-Soon Chang Effects of Non-normality on the Performance of Univariate and Multivariate CUSUM Control Charts , 2006 .

[30]  Jae-June Lee,et al.  A Study on Optimal Subgroup Size in Estimating Variance of Small Autocorrelated Samples , 2007 .

[31]  Won Jung,et al.  In-Line Automated Inspection System for Quality Improvement of Electronic Parts , 1995 .

[32]  Cheong-Sool Park,et al.  A Fault Detection of Cyclic Signals Using Support Vector Machine-Regression , 2010 .

[33]  Min-Koo Lee,et al.  Design of Rectifying Screening Inspections under a Bivariate Normal Distribution , 2007 .

[34]  Hyung-Gyoo Won Control Charts Based on Self-critical Estimation Process , 1997 .

[35]  Jae-June Lee,et al.  A note on CUSUM design for autocorrelated processes , 2008 .

[36]  Jae Hoon Lee,et al.  Optimum target values for manufacturing processes when drifting rate in the process mean is normally distributed , 2010 .

[37]  Gyo-Young Cho,et al.  Variable Sampling Interval Control Charts for Number of Defectives , 1997 .

[38]  Tae-Jin Lim The ARL of a Selectively Moving Average Control Chart , 2007 .

[39]  Sung-Hoon Hong,et al.  Effects of Limited Capacity on Screening Procedures Using a Surrogate Variable , 2008 .

[40]  Hyuck-Moo Kwon,et al.  A Study on the Multistage Screening Procedure when Inspection Errors are Present , 2005 .

[41]  Cho Joong-Jae,et al.  Better Confidence Limits for Process Capability Index $C_{pmk}$ under the assumption of Normal Process , 2004 .

[42]  Jung-Hoon Lee,et al.  Statistical Design of CV-CUSUM Control Chart Using Fast Initial Response , 2010 .

[43]  Min-Koo Lee,et al.  Screening Procedure as Statistical Hypothesis Testing , 1998 .