• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.345-348
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• 2000

본 사례는 국내 APT 건설 현장에서 수행된 식스시그마 프로젝트에 대한 것으로 폐콘크리트 발생 저감 및 잔량발생에 영향을 미치는 주요 인자들을 파악하고 개선안을 도출하는 과정을 보였다. 프로젝트는 식스시그마의 방법론을 따라 정의, 측정, 분석, 개선, 관리의 절차에 따라 주요 변수를 규명하고 개선안을 찾아내는 식으로 진행되었다. 분석결과 폐콘크리트 발생을 줄이기 위해서는 첫째, 거푸집 시공 및 타설 프로세스를 개선하고 둘째, 압송관 및 펌프카 내 잔여 레미콘을 최소한으로 감소시키며 셋째, 최종적으로 남은 레미콘을 재활용할 수 있도록 하는 세가지로 요약되었다

• The Korean Journal of Applied Statistics
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• v.23 no.6
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• pp.1035-1045
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• 2010

Products and/or services should be objectively verified in terms of the technological and use-conditional considerations before entering a market. Every organization or company tries to find the better procedure and method for checking the core needs of customers based on their experience in the market and looks for continuous ways to evaluate the power of products and services(PoP). They also prefer the overall evaluation of indices that could reflect various customer needs, rather than a separate evaluation index for each characteristic of the product or service. S. Ko (2008) proposes a Multi-characteristics Sigma Level(MSL) that can simultaneously evaluate many characteristics of a product or service. In this research, using MSL and a new Blue Ocean Index(BOI), an application of NPS, mobile phone field test is considered from a practical and statistical point of view.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.149-159
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• 2019

Six sigma is an innovative management movement which provides improved business process by adapting the paradigm and the trend of market and customers. Suitable selection of six sigma project could highly reduce the costs, improve the quality, and enhance the customer satisfaction. There are existing studies on the selection of Six Sigma projects, but few studies have been conducted to select the correct project under an incomplete information environment. The purpose of this study is to propose the application of integrated MCDM techniques for correct project selection under incomplete information. The project selection process of six sigma involves four steps as follows: 1) determination of project selection criteria 2) calculation of relative importance of team member's competencies 3) assessment with project preference scale 4) finalization of ranking the projects. This study proposes the combination methods by applying group fuzzy Analytical Hierarchy Process (AHP), an easy defuzzified number of Trapezoidal Fuzzy Number (TrFN) and Grey Relational Analysis (GRA). Both of the weight of project selection criteria and the relative importance of team member's competencies can be evaluated by group fuzzy AHP. Project preferences are assessed by easy defuzzified scale of TrFN in case of incomplete information.)