• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.187-195
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• 2007

최근 우리나라에서 도요타를 벤치마킹하여 TPS를 도입하는 회사가 늘어나고 있다. 다품종 소량생산의 Lean 생산방식을 적용하기 위해서는 셋업시간의 단축 뿐만 아니라 이에 따른 셋업 품질능력이 향상되어야 한다. 따라서, 공정을 셋업하는 작업자들에게 이러한 Complex Target & Control Chart를 적용한다면, 통계적인 지식 없이도 공정의 불량을 예방 할 수 있으리라 확신한다. 이러한 관리도를 사용하여 공정능력을 향상한다면, 일본과 같은 높은 수준의 공정능력을 확보 할 수 있을 것이다. 단, 본 관리도는 현장 작업자를 위한 불량예방을 위한 품질관리 도구이며, 공정변동을 관리하기 위해서는 엔지니어 측면에서 관리도의 활용도 병행되어야 한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.2
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• pp.50-56
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• 2002

In this study, we establish bootstrap control limits for EWMA chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap EWMA control chart is developed for applying bootstrap method to EWMA chart, which is more sensitive to small shifts of process. With the purpose of eliminating a skewness of the resampling distribution, the bootstrap control limits are established by using a modified residual, and its performance is analyzed by ARL. It is shown that the bootstrap EWMA control chart developed in this study includes the properties of standard EWMA control chart that is sensitive to a small shift, and detects process in out of control more quickly than standard EWMA chart.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.587-600
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• 2016

Purpose: This paper evaluates the performance of the pre-control(PC), an alternative to statistical process control techniques and compares with a control chart considering the tolerance of process. Methods: The previous studies for PC have drawbacks that PC with two linked stages, qualification and running, are discussed separately and independently. Hence this paper analyzes the performance of PC by integrating two stages. Results: Average outgoing quality limits to grasp the outcome of PC are provided by computational results for two process capability indexes, $C_p$ and $C_{pk}$ and the usefulness of PC from comparative experiments with modified control charts is commented. Conclusion: Helpful guidelines for quality managers to apply PC in practice and areas of process for PC to be more benefit are presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.3
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• pp.39-49
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• 2003

Statistical process cintrol is intended to assist operators of a stable system in monitoring whether a change has occurred in the process, and it uses several control charts as main tools. In design and use of control chart, it is rational that probability of false alarm is minimized in stable process and probability of detecting shifts is maximized in out-of-control. In this study, we establish bootstrap control limits for robust M-estimator chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap M-estimator control chart is developed for applying bootstrap method to M-estimator chart, which is more robust to keep ARL when process contain contaminate quality characteristic.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.52
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• pp.347-354
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• 1999

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.

• The Korean Journal of Applied Statistics
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• v.27 no.5
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• pp.787-796
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• 2014

Situations where sample size is not constant are common when monitoring a process with Poisson count data. In this paper, we propose a generalized likelihood ratio(GLR) control chart to detect shifts in the Poisson rate when the sample size varies. The performance of the proposed GLR chart is compared with the performance of several cumulative sum(CUSUM) type charts. It is shown that the overall performance of the GLR chart is comparable with CUSUM type charts and is significantly better in cases where the actual value of the shift is different from the pre-specified value in CUSUM type charts.

• Physical Therapy Rehabilitation Science
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• v.12 no.2
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• pp.92-104
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• 2023

Objective: The purpose of this study was to investigate the effect of spinal mobilization with leg movement (SMWLM) and neural mobilization (NM) in patients with lumbar disc herniation (LDH) accompanied by radiating pain. Design: Three-group pre-test-post-test control group design. Methods: We enrolled 48 participants, whom we randomly assigned to three groups. The SMWLM group (n=16) underwent 20 min of conventional physical therapy (CT) and 20 min of SMWLM. The NM group (n=16) underwent 20 min of CT and 20 min of NM. The control group (n=16) underwent 20 min of CT. These interventions in all the groups were performed three times a week for 4 weeks. Numeric pain rating score (NPRS), body grid chart score (BGCS), passive straight leg raise (PSLR), active lumbar flexion range of motion (ALFROM), korean version oswestry disability index (KODI), and korean version fear avoidance beliefs questionnaire (KFABQ) were measured pre- and post-intervention. Results: In all three groups, the NPRS, PSLR, KODI, and KFABQ scores were significantly different pre- and post-intervention (p<0.05). Significant differences were observed in BGCS and ALFROM in the SMWLM and NM groups pre- and post-intervention (p<0.05). The SMWLM group showed more improvement in the NPRS of leg pain, ALFROM, and KFABQ score than that exhibited by the NM and control groups (p<0.05). Conclusions: Both SMWLM and NM were effective for improving back and leg pain, centralization of symptoms, mechanical sensitivity, lumbar mobility, lumbar functional disability, and psychosocial functioning in patients with LDH with radiating pain.

• Journal of Korean Academy of Nursing
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• v.49 no.6
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• pp.771-782
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• 2019

Purpose: To determine the effects of a child and parent program on developing social skills for preventing violent behaviors in children aged 60~72 months through a specially developed pre and posttest, control group, quasi-experimental study. Methods: A social skills development program based on Gardner's Multiple Intelligence Theory was used. The data were collected using the Social Skills Assessment Scale (SSAS), a Chart to Monitor Verbal and Behavioral Violence in Children, the Parental Attitude Scale and the Parent Interview Form. This quasi-experimental study that included a pretest, posttest, and control group had a sample comprising 67 children and parents, with 36 in the experimental group, and 31 in the control group. Results: Over a six-month period, while the social skill scores of the children in the experimental and control groups increased, their violent behaviors decreased (p<.050). Increase in social skill scores and decrease in violent behaviors were higher in the experimental than in the control group children (p<.050). The parents in the experimental group stated that they had started to empathize with their children, using "I" language, and applied rules more consistently after the program. Conclusion: This program was successful in preventing violent behaviors in children through the development of social skills. Hence, it can be effectively implemented through a teacher/nurse collaboration.

• The Journal of Korean Physical Therapy
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• v.15 no.4
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• pp.90-102
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• 2003

Purpose: The purpose of this study is to search effect that GCM joint treatment gets to range of motion of cervical, lumbar, trunk and anke. And cervical gets in ankle joint. Methods: Estimated body deformity using GCM body type assesment chart then measured range of motion of each region. After control group did as act freely after do experiment pre measurement control group did post measurement. After control group did as act freely after do experiment premeasurement, control group did postmeasurement. Each region was measured by measurer who each subject person differs. Experimental group did GCM joint treatment and all measurements each region by measurer who each subject person differs three times measure postmeasurement after premeasurement. When measure with each measurement, measured after leave and walk time interval for 10 minutes. Result: For the analysis of the result of experiment, the results is change amount comparison increased to keep in mind except cervical flexion and both ankle joint's dorsiflexion after experiment of experimental group. In experimental group, cervical, lumber and ankle joint of range of motion was significantly increased(p<.05).

• Korean Chemical Engineering Research
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• v.45 no.1
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• pp.32-38
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• 2007

A batch Process has a multi-way data structure that consists of batch-time-variable axis, so the statistical modeling of a batch process is a difficult and challenging issue to the process engineers. In this study, We applied a statistical process control technique to the general batch process data, and implemented a fault-detection and Statistical process control system that was able to detect, identify and diagnose the fault. Semiconductor etch process and semi-batch styrene-butadiene rubber process data are used to case study. Before the modeling, we pre-processed the data using the multi-way unfolding technique to decompose the data structure. Multivariate regression techniques like support vector regression and partial least squares were used to identify the relation between the process variables and process condition. Finally, we constructed the root mean squared error chart and variable contribution chart to diagnose the faults.