• Title/Summary/Keyword: Six Sigma Project Selection

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A Study of Six Sigma Project Selection Criteria by Comparing Private Corporate with Public Corporate (민간기업과 공공기업의 식스시그마 프로젝트 선정기준)

  • Lim, Sung-Uk;Jung, Yoon-Jung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.1
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    • pp.91-97
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    • 2010
  • Six Sigma is widely recognized as a process improvement methodology. In these days, many organizations today are considering how to choose six sigma project. This study is to provide six sigma project selection criteria by comparing public corporate with private corporate using AHP. In this exploratory study, criteria to select six sigma project is developed and suggested to fit goal of each organizations.

Project Selection of Six Sigma Using Group Fuzzy AHP and GRA (그룹 Fuzzy AHP와 GRA를 이용한 식스시그마 프로젝트 선정방안)

  • Yoo, Jung-Sang;Choi, Sung-Woon
    • 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.)

Selecting Six Sigma Projects

  • Akpolat, Hasan;Xu, Jichao
    • International Journal of Quality Innovation
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    • v.3 no.2
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    • pp.132-137
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    • 2002
  • The quality improvement methodology Six Sigma gained enormous international popularity in the past few years, mainly due to its successful implementation at General Electric. Six Sigma is now commonly understood not only as a statistical measure for process performance (6$\sigma$ stands for 3.4 defects per million opportunities) to improve product quality but it has also become a strategic initiative undertaken by many organisations to improve management quality. In the centre of the Six Sigma methodology is the improvement project, often referred to as Black Belt or Green Belt project. Although every business is different and business priorities differ from company to company, however all businesses face the same problem when it comes to Six Sigma projects: How to choose the right project\ulcorner This article intends to provide some answers to this and other frequently asked questions about Six Sigma projects.

Six Sigma Project Selection Integrated into the Business Strategy (경영전략과 통합된 6시그마 과제 선정 방안)

  • Hur, Won-Suk;Kim, Dong-Chun;Jang, Joong-Soon
    • IE interfaces
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    • v.16 no.spc
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    • pp.1-6
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    • 2003
  • This study deals with the problem of selecting 6 sigma projects. Traditionally, such selection was based on CTQ (critical to quality) or COPQ (cost of poor quality) derived within business units. Since the objective of 6 sigma is to achieve business goals in a short period, 6 sigma projects should be selected and carried out in coincidence with the whole company's strategies. This paper proposes two methods of selecting 6 sigma projects: one is to identify CTQ's by analyzing the company's BSC's (balanced score card) and then deploying them into subunits of the company and the other is to identify those projects with large hidden COPQ or cost of waste by applying value stream analysis and process model simulation to derive process cost models.

Selection of Six Sigma Key Ingredients (6시그마 핵심구성요소 선정)

  • Cho, Ji-Hyun;Jang, Joong-Soon
    • Journal of Korean Society for Quality Management
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    • v.34 no.4
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    • pp.22-32
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    • 2006
  • In these days, most of Korean industries advocates and utilizes Six Sigma as an integrated innovation tool for all their business and manufacturing processes. Six Sigma is known to bring more financial and managerial achievements than other innovation methods and tools. However, such successes are not always guaranteed. To adopt and implement Six Sigma successfully, it is necessary to grasp and understand essential characteristics of Six Sigma and then identify suitable elements and complements in consideration of vision, strategies, capability, circumstance and environment of the company. Step by step implementation plan may be built based on those ingredients. This study is to find out key ingredients (KIs) of Six Sigma. Potential ingredients selected from previous studies of success factors and ingredients of Six Sigma and TQM, and criteria of quality awards like MBNQA, EFQM, Deming prize and Korean National Quality Awards (KNQA) are classified into 11 categories based on experts' opinion and affinity analysis: management leadership, belt system, training, six sigma system, compensation, organization, corporate culture, customer focused, project selection, management of project results, and managerial achievements. Irrelevant or ineffective potential ingredients are discarded using factor analysis for the questionnaires answered by champions, MBB's and BB's of 90 Korean companies that have more than 3 years experience of Six Sigma. Also from the factor analysis, 3 factors are derived for each categories respectively except the managerial achievement category. Those 11 categories and 30 factors are defined as KIs of Six Sigma. This study also reveals that there is difference according to enterprise size, type of business, and implementation time in terms of KI's, and prioritizes KI's that an enterprise to pursue Six Sigma successfully should consider according to its characteristics.

Six Sigma Maturity Model for MeasuringEffectiveness of Six Sigma Activities (6시그마의 효과 측정을 위한 성숙도 모형 개발)

  • Cho, Ji Hyun;Jang, Joong Soon
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.4
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    • pp.279-290
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    • 2006
  • This paper proposes a model to assess the maturity level of Six Sigma activities. We classify the maturity level into 5 stages: initial, forming, storming, performing and mature stage. To evaluate the maturity level, 10 categories of Six Sigma with 3 factors each are identified: management leadership, belt system, expert training, establishing execution system, compensation, organization, corporate culture, customer focus, project selection, and management of project results. Scoring 277 items in total, the value of each factor is evaluated by weighted average of those items. Maturity level is appraised by rating the sum of scores of 10 categories that are obtained by summing up the values of its 3 factors. Values of weights and criteria of rating maturity levels are determined by analyzing 90 companies and Six Sigma exper's opinion. This study also shows the actual appraisal results of some companies.

A Case Study of Supporting Six Sigma Innovation Activity of Suppliers (협력업체의 6시그마 혁신활동 지원 사례)

  • Sung, Su-Gyeong;Kim, Joon-Seok;Byun, Jai-Hyun
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2010.04a
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    • pp.483-490
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    • 2010
  • For the success of total six sigma innovation, it is necessary to involve the suppliers In the six sigma activities. This paper presents the deployment and support system of six sigma innovation for suppliers, with the application to an aerospace production company. The process of project selection, project implementation, financial effect verification, benefit sharing is presented. This paper will benefit the companies which are going to enhance all the companies in the supply chain via six sigma activities.

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A Six Sigma Application Methodology for Supply Chain Quality Improvement (공급망 품질향상을 위한 6시그마 적용방법)

  • Sung, Su-Gyeong;Kim, Joon-Seok;Byun, Jai-Hyun
    • Journal of Korean Society for Quality Management
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    • v.38 no.2
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    • pp.180-189
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    • 2010
  • For the success of total six sigma innovation, it is necessary to improve the suppliers' quality in the supply chain. This paper presents the deployment and support system of six sigma innovation for supply chain quality improvement, with the application to an aerospace production company. The process of project selection, project implementation, financial effect verification, benefit sharing is presented. This paper will benefit the companies which are going to enhance all the companies in the supply chain via six sigma activities.

A Case Study of Six Sigma Project for Improving TIP Life Time in a Spot Welding Process (스폿 용접공정의 TIP 수명 향상을 위한 6시그마 프로젝트 사례)

  • Lee, Min-Koo;Kwag, Hyo-Chang
    • Journal of Korean Society for Quality Management
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    • v.33 no.1
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    • pp.88-98
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    • 2005
  • This paper considers 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 vital few input variables are jointly obtained by maximizing TIP life time using DOE and alternative selection method.

A Case Study of Six Sigma Project for Improving Productivity of the Brace Complement Center Pillar (Brace Complement Center Pillar의 생산성 향상을 위한 6시그마 프로젝트사례)

  • Lee, Min-Koo;Lee, Kwang-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.1
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    • pp.9-17
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    • 2006
  • This paper considers a six sigma project for improving productivity of the brace complement center pillar. The project follows a disciplined process of fife phases: define, measure, analyze, improve, and control. A process map is used to identify process input and output variables. Eleven key process input variables are selected by using X&Y matrix and FMEA, and finally eight vital few input variables are selected from analyze phase. The optimum process conditions of the vital few input variables are jointly obtained by maximizing productivity of the brace complement center pillar using DOE and alternative selection method.