• Title/Summary/Keyword: Six Sigma management

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A Study on Lean-SMAIS Methodology for Field Work Improvement - By using ProEye Software - (현장작업 개선을 위한 Lean-SMAIS 방법론 연구 -프로아이(ProEye) 소프트웨어 활용 중심으로-)

  • Park, Chang-Do;Ree, Sang-Bok
    • Journal of Korean Society for Quality Management
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    • v.40 no.2
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    • pp.166-175
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    • 2012
  • Enterprises are continuously trying management innovation activities for survival. Among representative management innovation activities in domestic manufacture enterprise, which are TPS, 6 sigma, Lean 6 sigma etc. Many enterprises through these reform activity have gotten good result. However, these techniques have merits and demerits according to circumstance of enterprise. Specially, there are a lot of difficulties in medium and small size enterprises. In this research, We introduce Lean-SMAIS Method for medium and small size enterprises that is consists of the merit of lean 6 sigma and software(which is called ProEye). We prove Lean-SMAIS method is useful by applying medium and small size enterprise A company.

Strategic Business Process Based on Business Intelligence by Connected with BPM & 6 Sigma (BPM과 6 Sigma 연계에 의한 BI기반의 전략적 비즈니스 프로세스)

  • Park, Sang-Min;Nam, Ho-Ki;Shin, Seung-Ho;Kim, Qui-Nam
    • Convergence Security Journal
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    • v.7 no.2
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    • pp.27-37
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    • 2007
  • Companies have to take agility against change of environment and build up the capacity of new value creation in today's management environment. Until now, there are so many management method for efficiency of management, rationality of management and IT (information technology) supported this method by integration of enterprise task and process automation. but company's competitiveness through the efficiency of management realized the limitations recently. so companies needs the new management method to raise core value of enterprise. This study applies strategy intelligence which is some part of Business Intelligence. We can identify the core value driver by using this method. and the core value driver is connected the KPI (key performance indicator) of processes in BPM (Business Process Management). This help the management of process focused on value driver. and some part of activity driver that effect the process performance can be use the Six Sigma method to strategic business process. This study first introduces the concept of Business Intelligence, Business Process Management and Six Sigma. and then efficient connection plan for value based strategic business process is introduces.

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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.)

A Six Sigma Project for Reducing the Make pressure problem of Relay (릴레이 복귀전압 신뢰성 향상을 위한 6시그마 프로젝트 사례연구)

  • Kim Hyun Soo;Lee Hwa Ki;Kim Pan Joe
    • Journal of the Korea Safety Management & Science
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    • v.7 no.1
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    • pp.87-100
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    • 2005
  • This paper studies on the quality problem for the Reley using the 6 sigma process. The application of 6 sigma process suggested reliable and valuable statistical data for the quality of the Relay at the production line. In the measurement step in 6 sigma process, the FMEA(filure mode effect analysis) were used for the detection of problem source. The application of 6 sigma process gave the improving method for the quality of the Relay. Consequently the 6 sigma process was proved very effective for the quality problem reducing at the production line.

A Study of Six Sigma and Total Error Allowable in Chematology Laboratory (6 시그마와 총 오차 허용범위의 개발에 대한 연구)

  • Chang, Sang-Wu;Kim, Nam-Yong;Choi, Ho-Sung;Kim, Yong-Whan;Chu, Kyung-Bok;Jung, Hae-Jin;Park, Byong-Ok
    • Korean Journal of Clinical Laboratory Science
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    • v.37 no.2
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    • pp.65-70
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    • 2005
  • Those specifications of the CLIA analytical tolerance limits are consistent with the performance goals in Six Sigma Quality Management. Six sigma analysis determines performance quality from bias and precision statistics. It also shows if the method meets the criteria for the six sigma performance. Performance standards calculates allowable total error from several different criteria. Six sigma means six standard deviations from the target value or mean value and about 3.4 failures per million opportunities for failure. Sigma Quality Level is an indicator of process centering and process variation total error allowable. Tolerance specification is replaced by a Total Error specification, which is a common form of a quality specification for a laboratory test. The CLIA criteria for acceptable performance in proficiency testing events are given in the form of an allowable total error, TEa. Thus there is a published list of TEa specifications for regulated analytes. In terms of TEa, Six Sigma Quality Management sets a precision goal of TEa/6 and an accuracy goal of 1.5 (TEa/6). This concept is based on the proficiency testing specification of target value +/-3s, TEa from reference intervals, biological variation, and peer group median mean surveys. We have found rules to calculate as a fraction of a reference interval and peer group median mean surveys. We studied to develop total error allowable from peer group survey results and CLIA 88 rules in US on 19 items TP, ALB, T.B, ALP, AST, ALT, CL, LD, K, Na, CRE, BUN, T.C, GLU, GGT, CA, phosphorus, UA, TG tests in chematology were follows. Sigma level versus TEa from peer group median mean CV of each item by group mean were assessed by process performance, fitting within six sigma tolerance limits were TP ($6.1{\delta}$/9.3%), ALB ($6.9{\delta}$/11.3%), T.B ($3.4{\delta}$/25.6%), ALP ($6.8{\delta}$/31.5%), AST ($4.5{\delta}$/16.8%), ALT ($1.6{\delta}$/19.3%), CL ($4.6{\delta}$/8.4%), LD ($11.5{\delta}$/20.07%), K ($2.5{\delta}$/0.39mmol/L), Na ($3.6{\delta}$/6.87mmol/L), CRE ($9.9{\delta}$/21.8%), BUN ($4.3{\delta}$/13.3%), UA ($5.9{\delta}$/11.5%), T.C ($2.2{\delta}$/10.7%), GLU ($4.8{\delta}$/10.2%), GGT ($7.5{\delta}$/27.3%), CA ($5.5{\delta}$/0.87mmol/L), IP ($8.5{\delta}$/13.17%), TG ($9.6{\delta}$/17.7%). Peer group survey median CV in Korean External Assessment greater than CLIA criteria were CL (8.45%/5%), BUN (13.3%/9%), CRE (21.8%/15%), T.B (25.6%/20%), and Na (6.87mmol/L/4mmol/L). Peer group survey median CV less than it were as TP (9.3%/10%), AST (16.8%/20%), ALT (19.3%/20%), K (0.39mmol/L/0.5mmol/L), UA (11.5%/17%), Ca (0.87mg/dL1mg/L), TG (17.7%/25%). TEa in 17 items were same one in 14 items with 82.35%. We found out the truth on increasing sigma level due to increased total error allowable, and were sure that the goal of setting total error allowable would affect the evaluation of sigma metrics in the process, if sustaining the same process.

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Development of Financial Effect Measurement(FEM) Models for Quality Improvement and Innovation Activity (품질개선 및 혁신활동에서 재무성과 측정모형의 개발)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
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    • v.17 no.1
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    • pp.337-348
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    • 2015
  • This research introduces the Financial Effect Measurement (FEM) models which measures both the improvement and the innovation performance of Quality Control Circle (QCC) and activities of Six Sigma. Concepts and principle of Comprehensive Income Statement (CIS), Balanced Scorecard (BSC), Time-Driven Activity Based-Costing (TDABC) and Total Productive Maintenance (TPM) are applied in order to develop the 4 FEM models presented in this paper. First of all, FEM using CIS depicts the improvement effects of production capacity and yield using relationships between demand and supply, and line balancing efficiency between bottleneck process and non-bottleneck processes. Secondly, cause-and-effect relation of Key Performance Indicator (KPI) is used to present Critical Success Factor (CSF) effects for QC Story 15 steps of QCC and DMAIC (Define, Measure, Analyze, Improve, and Control) of Six Sigma. The next is FEM model for service management innovation activities that uses TDABC to calculate the time-driven effect for improving the indirect activities according to the cost object. Lastly, FEM model for TPM activities presents the interpretation of improvement effect model of TPM Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) maintenance using profit, cash and Economic Added Value (EVA) as metrics of enterprise values. To better understand and further investigate FEMs, recent cases on National Quality Circle Contest are used to evaluate new financial effect measurement developed in this paper.

A Study on Ambidextrous Attribute About Problem Solving Tools (문제해결 도구의 양면성 속성에 대한 연구)

  • Sung, Ki-Wook;Han, Hoon-Seok;Kim, Bong-Sun
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.281-289
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    • 2012
  • Recently, creative innovation has become a major topic in management innovation and due to this, various researches on its need and methodologies are being performed. According to previous studies on ambidexterity, explorative innovation is closer to divergent and right-sided brain, while exploitative innovation is closer to convergent and left-sided brain. Five attributes of the questionnaires were developed based on right-sided and left-sided brain theory. Also, 25 problem solving tools were selected according to previous studies. QC 7 Tools and new QC 7 Tools were frequently used in Six Sigma projects. Other 11 problem solving tools were selected with consideration on its usage frequency. Survey questionnaires were distributed to 25 Six Sigma consultants and 22 were retrieved for this study's use. As a result, 14 tools were identified to hold exploitative attribute while 11 tools were identified to hold explorative attributes.

A Future Prospect for Change in each Step of Six Sigma DMAIC under the 4th Industrial Revolution (4차 산업혁명 하에서의 6 시그마 DMAIC 단계별 변화에 대한 전망)

  • Kwon, Hyuck Moo;Hong, Sung Hoon;Lee, Min Koo
    • Journal of Korean Society for Quality Management
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    • v.46 no.1
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    • pp.1-10
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    • 2018
  • Purpose: This paper provides an idea on the future prospect for change in steps of the six sigma DMAIC project under the environment of the 4th industrial revolution. Methods: First, the purpose and activities required in each step of DMAIC are reviewed. Next, activities are reviewed together with tools and techniques, considering the purpose and the environmental changes of the 4th Industrial Revolution. Finally, the best approaches for achieving the purpose are prospected to get an idea on future change. Results: The purpose of each phase of DMAIC is expected to remain unchanged. But activities, techniques, or methods will be replaced with more effective and efficient ones. Also, many activities may possibly be executed by a system instead of people like BB, GB or team members. Moreover, DMAIC may not be a project any more but a routine job of the system in the future. Conclusion: Under the environment of the 4th industrial revolution, many activities including analyzing various types of data and extracting valuable information, will be executed by a system with proper algorithms instead of people. And six sigma improvement projects may be intrinsic parts of the system and may not exist as separate projects any more.

A Design for Six Sigma: A Robust Tool in Systems Engineering Process

  • Yoon, Hee-Kweon;Byun, Jai-Hyun
    • Industrial Engineering and Management Systems
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    • v.11 no.4
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    • pp.346-352
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    • 2012
  • While systems engineering has been widely applied to complex system development, some evidences are reported about major budget and schedule overruns in systems engineering applied. On the other hand, many organizations have been deploying Design for Six Sigma (DFSS) to build Six Sigma momentums in the area of design and development for their products and processes. To explore the possibility of having a DFSS complement systems engineering process, this process reviews the systems engineering with their categories of effort and DFSS with its methodologies. A comparison of the systems engineering process and DFSS indicates that DFSS can be a complement to systems engineering for delivering higher quality products to customers faster at a lower cost. We suggest a simplified framework of systems engineering process, that is, PADOV which was derived from the generic systems engineering process which has been applied to the development of T-50 advanced supersonic trainer aircraft by Korea Aerospace Industries (KAI) with technical assistance of Lockheed Martin. We demonstrated that each phase of PADOV framework is comprehensively matched to the pertinent categories of systems engineering effort from various standards.