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Design of Acceptance Control Charts According to the Process Independence, Data Weighting Scheme, Subgrouping, and Use of Charts  

Choi, Sung-Woon (Department of Industrial Engineering, Kyungwon University)
Publication Information
Journal of the Korea Safety Management & Science / v.12, no.3, 2010 , pp. 257-262 More about this Journal
Abstract
The study investigates the various Acceptance Control Charts (ACCs) based on the factors that include process independence, data weighting scheme, subgrouping, and use of control charts. USL - LSL > $6{\sigma}$ that used in the good condition processes in the ACCs are designed by considering user's perspective, producer's perspective and both perspectives. ACCs developed from the research is efficiently applied by using the simple control limit unified with APL (Acceptable Process Level), RLP (Rejectable Process Level), Type I Error $\alpha$, and Type II Error $\beta$. Sampling interval of subgroup examines i.i.d. (Identically and Independent Distributed) or auto-correlated processes. Three types of weight schemes according to the reliability of data include Shewhart, Moving Average(MA) and Exponentially Weighted Moving Average (EWMA) which are considered when designing ACCs. Two types of control charts by the purpose of improvement are also presented. Overall, $\alpha$, $\beta$ and APL for nonconforming proportion and RPL of claim proportion can be designed by practioners who emphasize productivity and claim defense cost.
Keywords
Acceptance Control Charts; Process Independence; Data Weighting Scheme; Subgrouping; Use of Control Charts; iid or Auto-Correlated Processes; Shewhart; MA; EWMA; $\alpha$; $\beta$; APL; RPL;
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1 최성운, "계량 규준형 샘플링 검사 스킴을 이용한 합격판정 관리도의 설계 및 운영", 대한안전경영과학회 춘계학술대회 발표문집 (2008) : 443-450.
2 Hill D., "Modified Control Limits", Applied Statistics, 5(1)(1956) : 12-19.   DOI
3 Holmes D.S., Mergen A.E., "Exponentially Weighted Moving Average Acceptance Charts", Quality and Reliability Engineering International, 16(2000) : 139-142.   DOI   ScienceOn
4 Hunter J.S., "The Exponentially Weighted Moving Average", Journal of Quality Technology, 21(1989) : 242-250.
5 Montgomery D.C., Introduction to Statistical Quality Control, 6th Edition, Wiley, 2008.
6 Schmid W., " On EWMA Charts for Time Series", Frontiers in Statistical Quality Control, Edited by Lenz H.J. and Wilrich P.T., Physica - Verlag, 115-137, 1997.
7 KSQ ISO 7966: 2009 합격판정관리도, 지식경제부 기술표준원, 2009.
8 Duncan A.J., Quality Control and Industrial Statistics, 5th Edition, Irwin, 1986.
9 Freud R.A., "Acceptance Control Charts", Industrial Quality Control, 14(4)(1957) : 13-23.
10 Crowder S.V., "Design of Exponentially Weighted Moving Average Schemes", Journal of Quality Technology, 21(1989) : 155-162.
11 Box G.E.P., Jenkins G.M., Reinsel G.C., Time Series Analysis : Forecasting and Control, 4th Edition, Wiley, 2008.