• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.45-56
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• 2007

As the knowledge-based society has been constructed, the size of work process that has to be done grows bigger and the amount of the information that has to be analyzed increases. So each company is trying to construct more conformable process models in business model. This study helps to understand the interaction between Process data and structure which are collected on the profess by appling six Sigma as a process improving methodology. On Six Sigma, businesses tn practice Best Practice Process with the view of Value Chain To measure data for the process performing action, introducing Schedule management method makes it possible to collect and reflect accurate data of workers' ability. By this method, efficiency in production will be improved because workers we able to perform the process correctly and preliminary management for defects.

• Journal of Korean Society for Quality Management
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• v.38 no.1
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• pp.52-63
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• 2010

The purpose of this study is to investigate whether or not belt's jobs represent a source of job enrichment that translates into positive job characteristics and satisfaction. Hackman and Oldham's 5 job characteristics, 3 critical psychological states and MPS are utilized for analyzing results of the study. The results indicate that Black and Master Black Belt's jobs have positive effects on all five job characteristics, 3 psychological states, and MPS score. However, the findings indicate that Black and Master Black Belt's jobs are no direct effect on job satisfaction suggesting that growth need strength controls on job satisfaction. The result shows that there is a support for the prediction that growth needs strength controls the effect of belt's jobs on job satisfaction.

• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.487-493
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• 2004

This paper consider a six sigma project for improving the TIP life time in a spot welding process. The project follows a disciplined process of five phases: define, measure, analyze, improve, and control. A process map is used to identify process input and output variables. Nine key process input variables are selected by using C&E matrix and FMEA, and finally four vital few input variables are selected from analyze phase. The optimum process conditions of the four vital few input variables are jointly obtained by maximizing TIP life time using DOE.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.411-415
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• 2001

Advances in computer and sensor technology have made it possible to obtain superlarge manufacturing process data in real time, letting us to extract meaningful information from these superlarge data sets. We propose a systematic data analysis procedure which field engineers can apply easily to manufacture quality products. The procedure consists of data cleaning and data analysis stages. Data cleaning stage is to construct a database suitable for statistical analysis from the original superlarge manufacturing process data. In the data analysis stage, we suggest a graphical easy-to-implement approach to extract practical information from the cleaned database. This study will help manufacturing companies to achieve six sigma quality.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.1
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• pp.11-28
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• 2009

Intelligent investment in setup cost reduction and process reliability improvement is crucial to an emerging integrated lean six sigma practice today. This study examines a cost-minimizing problem of jointly determining production lot size, setup cost reduction, and process reliability improvement decisions for a manufacturer with an imperfect production process. We develop models for previously untapped discrete shipping in a supply chain context as well as continuous shipping and solve them optimally using differential calculus and nonlinear programming. We also conduct analytic and numerical sensitivity analyses to provide various important managerial insights into practices.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.10-15
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• 2010

1996년 국내 6시그마 활동이 도입된 이후 제조업, 서비스업, 대기업, 중소기업, 공공기관등 모든 부문에서 활발히 추진되어 괄목할 만한 개선 성과를 이루었으나, 국방군수 분야인 정비분야에서는 그 활동이 지지부진 하였다. 이에 국방 군수 효율화 운동의 일환으로 2009년 육군종합정비창에서 시범적으로 실시한 6시그마 도입활동을 소개하고 보다 발전적인 방향을 모색함으로써 국방 군수경영 혁신에 기여 하고자 한다.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.229-238
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• 2004

많은 기업들이 급변하는 기업 환경과 고객의 요구 변화에서 생존과 지속적인 성장을 하기 위하여 신제품을 개발하고 있다. 하지만 신제품 개발을 하는데 있어 대부분의 기업들이 신제품 개발 프로세스의 후반부인 신제품 생산이나 프로토타이핑에 관심을 집중하고 있다. 이는 신제품 개발 프로젝트의 성공률을 낮추는 주요 원인으로 차후에 기술적인 문제 및 고객의 니즈의 부적합과 같은 문제를 일으키게 된다. 그래서 기업들은 과거 신제품 개발 프로세스의 문제점을 개선하기 위해 점차 신제품 개발 프로세스의 전반부인 상품기획 단계에 보다 관심을 갖게 되었다. 따라서 본 논문에서는 나날이 증대되고 있는 신제품 개발 프로세스의 전반부인 상품기획의 중요성에 대해 살펴보고, 이를 위하여 마케팅 단계에서 6시그마 품질 수준을 달성할 수 있는 MFSS (Marketing For Six Sigma)방법과 MFSS의 적용을 통해 과거의 신제품 개발 프로세스를 보다 효율적으로 개선하여 새로운 신제품 개발 프로세스인 MFSS Model를 제시하고자 한다.

• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.72-85
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• 2002

Advances in computer and sensor technology have made it possible to obtain superlarge manufacturing process data in real time, letting us extract meaningful information from these superlarge data sets. We propose a systematic data analysis procedure which field engineers can apply easily to manufacture quality products. The procedure consists of data cleaning and data analysis stages. Data cleaning stage is to construct a database suitable for statistical analysis from the original superlarge manufacturing process data. In the data analysis stage, we suggest a graphical easy-to-implement approach to extract practical information from the cleaned database. This study will help manufacturing companies to achieve six sigma quality.

• Journal of Korean Society for Quality Management
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• v.40 no.2
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• pp.106-116
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• 2012

This paper aims to develop the adequate quality cost model at a company which delivers ICT(information communication technology) services. One particular business unit was in the first instance selected and quality costs were then analysed at an organization level, for a department and for specific processes. Some areas were determined for quality improvement at each level and their causes were also investigated. However, the existing PAF(prevention, appraisal and failure) models reveled some limitations because the ICT services company included the different number of large and complicated business processes. The PAF model did not sufficiently highlight the detailed causes of failure costs. It did not also stimulate the relevant department's strong responsibility to improve such problems. Both micro PAF and process cost models were proposed in order to cope with this. In final, it explains the relationship between six sigma and quality costing, suggesting how to use the quality costing results as a means of promoting either continuous improvement or innovation in a case company.