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High Throughput 프로세스에서 품질혁신의 성능평가를 위한 Z-Factor의 적용방안

Implementation of Z-Factor Statistics for Performance Evaluation of Quality Innovation in the High Throughput Process

  • 최성운 (가천대학교 산업공학과)
  • Choi, Sung-Woon (Department of Industrial Engineering, Gachon University)
  • 투고 : 2012.10.04
  • 심사 : 2012.12.21
  • 발행 : 2013.03.31

초록

The purpose of this study is to introduce the limit of previously used six sigma quality process evaluation metrics, $Z_{st}$ and $P_{pk}$, and a solution to overcome this drawback by using a metric based on performance evaluation of Z-factor quality innovation. Case analysis on projects from national six sigma contest from 2011 to 2012 is performed and literature review on new drug development HTS (High Throughput Screening) is used to propose innovative performance evaluation metrics. This research shows that experimental study on six sigma evaluation metric, $Z_{st}$ and $P_{pk}$, have no significance difference between industrial type (Manufacturing, Semi-Public Institute, Public Institute) and CTQ type (Product Technology Type CTQ, Process Technology Type CTQ). Following discovery characterize this quality improvement as fixed target type project. As newly developed moving target type of quality innovation performance metric Z-Factor is used for evaluating experimental study, hypothetical analysis suggests that $Z_{st}$ and $P_{pk}$ share different relationship or even show reciprocal relationship. Constraints of the study are relatively small sample size of only 37 projects from past 2 years and conflict on having interview and communication with six sigma quality practitioner for qualitative experimental study. Both moving target type six sigma innovation project and fixed target type improvement project or quality circle enables efficient ways for a better understanding and quality practitioner use by applying quality innovation performance metric. Downside of fixed target type quality performance evaluation metric, $Z_{st}$ and $P_{pk}$, is presented through experimental study. In contrast, advantage of this study is that high throughput requiring product technology, process technology and quantum leap typed innovation effect is evaluated based on precision and accuracy and Z-Factor that enables relative comparison between enterprises is proposed and implemented.

키워드

참고문헌

  1. Antony J., Banuelas R.(2002), "Key Ingredients for the Effective Implementation of Six Sigma Program", Measuring Business Excellence 6(4), 20-27.
  2. Birmingham A., et al.(2009), "Statistical Methods for Analysis of High-Throughput RNA Interference Screens", Nature Methods, 6(8), 569-575. https://doi.org/10.1038/nmeth.1351
  3. Blakeslee J.A.(1999), "Implementing Six Sigma Solution: How to Acheive Quantum Leaps in Quality and Competitiveness", Quality Progress, July, 77-85.
  4. Byrne G.(2003), "Ensuring Optimal Success With Six Sigma Implementations", Journal of Organizations Excellence, 45-49.
  5. Catherwood P.(2002), "What's Different About Six Sigma", Manufacturing Engineer, 81(8), 186-189. https://doi.org/10.1049/me:20020410
  6. Eckes G.(2001), Making Six Sigma Last, John Wiley Sons.
  7. Gupta P.(2005), Six Sigma Scorecard, McGraw-Hill.
  8. Hahn G.J.(2000), "The Evaluation of Six Sigma", Quality Engineering, 12, 317-326. https://doi.org/10.1080/08982110008962595
  9. Harry M.J.(1998), "Six Sigma: A Breakthrough Strategy for Profitability", Quality Progress, May, 60-64.
  10. Harry M.J. Schroedor R.(2000), Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations, Doubleday.
  11. Zhang J.H., Chung T.D., Oldenburg K.R.(1999), "A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays", Journal of Biomolecular Screening, 4(2), 67-73. https://doi.org/10.1177/108705719900400206
  12. Zhang X.H.D., et al.(2006), "Robust Statistical Methods for Hit Selection in RNA Interference High-Throughput Screening Experiments", Pharmacogenomics, 7, 299-399. https://doi.org/10.2217/14622416.7.3.299
  13. Zhang X.H.D.(2007), "A Pair of New Statistical Parameters for Quality Control in RNA Interference High-Throughput Screening Assays", Genomics, 89, 552-561. https://doi.org/10.1016/j.ygeno.2006.12.014
  14. Zhang X.H.D(2011), Optimal High Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research, Cambridge Univerty Press.
  15. www.q-korea.net

피인용 문헌

  1. The Characteristics and Implementations of Quality Metrics for Analyzing Innovation Effects in Six Sigma Projects vol.16, pp.1, 2014, https://doi.org/10.12812/ksms.2014.16.1.169