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이만웅,배홍석,이보근,송서일 동아대학교 공과대학 부설 한국자원개발연구소 1995 硏究報告 Vol.19 No.2
In the rectifying single sampling inspection, 9-sampling inspection methods are briefly described, and then the optimal inspection plan to minimize the expected total cost is derived. The results of this experiment through numerical example are: (1) The optimal inspection plan of sampling to minimize the cost with several variables is derived. The result is TC(134, 4)=2321. (2) The optimal inspection plan is obtained when the LTPD is increased, and the sample size, acceptance number and total cost are decreased. (3) The optimal inspection plan is obtained when the lot size is increased, and sample size and acceptance number are also increased. (4) When e₁ is fixed and e₂ is increased, p_(e) is decreased with very small erefore, the type -Ⅰ error must influences on sample size more than the type-Ⅱ error does.
이만웅,배홍석,송서일 동아대학교 공과대학부설 생산기술연구소 1996 生産技術硏究所硏究論文集 Vol.1 No.2
The traditional control chart for treating certain kinds of quality control data assumes the existence of normerlity and independence in the data. When either independence and/or normality are present, as is usually the case, application of the traditional control chart introduces large errors in the analysis of the data and renders conclusiona based on them dubious. This paper modifies and extends the traditional control chart by utilizing the time series analysis approach and by introducing dependence via a first-order autoregressive process(AR(1) Model). We show that the modified EWMA control chart be excuted well in presence fo data correlation.
정적 파라미터 설계에 있어서 성능척도의 대안들에 대한 비교.분석
배홍석,이만웅,송서일 한국산업경영시스템학회 1995 한국산업경영시스템학회지 Vol.18 No.36
In parameter design, Taguchi's stated objective is to find the setting of product or process design parameters that minimize average quadratic loss-that is, the average squared deviation of the response from its target value. Yet in practice to choose the settings of design parameters he maximizeds a set of measures called signal-to-noise(SN) ratios. In general, Taguchi gave no justification for the use the SN ratios and no explanation of why the two-step procedure that he recommened will minimize average loss. The purpose of this study is comparing and analyzing of performance statistics by Leon et al(PerMIA), Box(Transformation theory), Vining & Myers(Dual Response Systems) and Taguchi(Signal-to-Noise ratios).
망목특성에 있어서 최적변수설계 절차의 비교·분석에 관한 연구
배홍석,이만웅,송서일 동아대학교 공과대학 부설 한국자원개발연구소 1995 硏究報告 Vol.19 No.2
The purpose of this study is to verify the usefulness and effectiveness of Taguchi method, by comparing and analyzing the results of parameter design by transformation theory of Box and Taguchi method which uses two stage optimization procedure for Nominal Target Best(NTB). Signal-to-noise ratios as performance statistic in Taguchi method and σ_(Y) and Y ̄ in Box method are used to select the optimal condition of design variable for the cases of Ouinlan report. Different control factors, adjustment factors and levels are obtained. The use of Taguchi method gave getter result than that of Box to the results of estimated value and optimal condition of design variable.
$\bar{x}$ 관리도의 표준관리한계와 부트스트랩 백분률 관리한계의 수행도 비교평가
송서일,이만웅 한국산업경영시스템학회 1999 한국산업경영시스템학회지 Vol.22 No.52
Statistical Process Control(SPC) which uses control charts is widely used to inspect and improve manufacturing process as a effective method. A parametric method is the most common in statistical process control. Shewhart chart was made under the assumption that measurements are independent and normal distribution. In practice, this assumption is often excluded, for example, in case of (equation omitted) chart, when the subgroup sample is small or correlation, it happens that measured data have bias or rejection of the normality test. A bootstrap method can be used in such a situation, which is calculated by resampling procedure without pre-distribution assumption. In this study, applying bootstrap percentile method to (equation omitted) chart, it is compared and evaluated standard process control limit with bootstrap percentile control limit. Also, under the normal and non-normal distributions, where parameter is 0.5, using computer simulation, it is compared standard parametric with bootstrap method which is used to decide process control limits in process quality.
송서일,이만웅 대한설비관리학회 1999 대한설비관리학회지 Vol.4 No.4
N/A The Cpsk index is introduced recently as a unified approach for process capability indices, and detects changes both in the centering and the dispersion of the process. It is as important as a development of new index that we calculate the confidence inte