원문정보
Design of Acceptance Control Charts According to the Process Independence, Data Weighting Scheme, Subgrouping, and Use of Charts
초록
영어
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 > 6σthat 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 α, and Type II Error β. 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, α, α and APL for nonconforming proportion and RPL of claim proportion can be designed by practioners who emphasize productivity and claim defense cost.
목차
1. 서론
2. i.i.d. Shewhart 프로세스에서 합격판정 관리도의 설계
2.1 i.i.d. n > 1 ACC
2.2 i.i.d. n = 1 ACC
3. MA, EWMA i.i.d 프로세스에서 합격 판정 관리도의 설계
3.1 MA n > 1 ACC
3.2 MA n > 1 ACC
3.3 EWMA n > 1 ACC
3.4 EWMA n = 1 ACC
4. EWMA와 AR(1) 혼합 프로세스에서 합격판정 관리도의 설계
4.1 EWMA와 AR(1) 혼합 371 ACC
4.2 EWMA와 AR(1) n = 1 ACC
5. 적용 예
6. 결론