• 소성∙가공
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• 제14권9호통권81호
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• pp.798-803
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• 2005

In this paper, the six sigma scheme together with the rigid-viscoplastic finite element method is employed to obtain the optimal metal flow lines of a hot forging according to the six sigma processes, i.e., five steps such as define, measure, analyze, improve and control. Each step is investigated in detail to meet customer's requirements through improvement of product quality. A forging simulator is used for analysis of the metal flow lines of the hot forging, manufactured by a hot press forging machine, under various conditions of major factors determined at each step. The analyzed results are examined in order to reveal the effects of major factors on the metal flow lines and the formed shapes. The effects are then used to find an optimal process and the optimal process with die is devised and tested. The comparison between the required metal flow lines and the experiments shows that the approach is effective for optimal process design in hot forging considering metal flow lines.

• International Journal of Quality Innovation
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• 제8권3호
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• pp.23-34
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• 2007

Many practitioners strive to increase the efficiency of their product development. In addition, smaller companies must satisfy customers' expectations of their product development. These expectations can be e.g. use of specific methodologies such as Lean Product Development (LPD) and/or Design for Six Sigma (DFSS). This study attempts to identify differences and similarities between these methodologies and the connection between them. This comparison is of interest to practitioners that must choose a strategy for their product development as well as to researchers. The aim of both methodologies is to reduce waste and time of development and to raise the quality of a product at the very roots of the product: its development. LPD and DFSS help development managers to structure projects and focus as much as possible on customer expectations and satisfaction.

• 대한기계학회논문집A
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• 제33권10호
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• pp.1132-1138
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• 2009

The spring constants of primary suspensions for a railway vehicle are optimized by a robust design process, in which the response surface models(RSMs) of their dynamic responses are constructed via the design of experiment(DOE). The robust design process requires an intensive computation to evaluate exactly a probabilistic feasibility for the robustness of dynamic responses with their probabilistic variances for the railway vehicle. In order to overcome the computational process, the process capability index $C_{pk}$ is introduced which enables not only to show the mean value and the scattering of the product quality to a certain extent, but also to normalize the objective functions irrespective of various different dimensions. This robust design, consequently, becomes to optimize the $C_{pk}$ subjected to constraints, i.e. 2, satisfying six sigma. The proposed method shows not only an improvement of some $C_{pk}$ violating the constraints obtained by the conventional optimization, but also a significant decrease of the variance of the $C_{pk}$.

• 한국멀티미디어학회논문지
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• 제21권6호
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• pp.685-697
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• 2018

(Most companies that perform BPR have not achieved satisfactory results or have not performed successful BPRs. There are many reasons for this, but the most important one has caused problems that do not accurately reflect the requirements of various stakeholders. In this paper, we will apply the BPR consulting methodology to a new value innovation requirements engineering process based on the Blue Ocean strategy, which is a way to create a new market without competition by customerizing potential customers by satisfying new customer expectations and needs. This paper uses a requirements engineering process that can generate customer value by applying the ERRC(Erasure Reduce Raise Create) analysis method, which is the core of the Blue Ocean Strategy Framework[1,2]. We will also apply the Six Sigma DFSS (Design For Six Sigma) methodology to improve quality and process through quantitative and systematic analysis. The proposed approach was presented to the BPR consulting to present a practical case, and the results of the empirical analysis of the system user to validate the results of BPR consulting.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 추계학술대회 논문집
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• pp.869-872
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• 2005

This research studied robust design of column part for LCD transfer system. $1^{st}$ DOE(Design of Experiment)was conducted to find out main effect factors. 36 experiments were performed and their results were shows that the geometric parameters(Low-length, Side-length, Upper-thickness, Middle-thickness)are more important than other factors. The main effect plots shows that the maximum deflection of column is minimized with increasing Low-length, Side-length, under-thickness and Middle-thickness. $2^{nd}$ DOE was conducted to obtain RMS(Response Surface Method)equation 25 experiments were conducted. The CCD(Central Composite Design)technique with four factors were used. The coefficient of determination $(R^2)$ for the calculated RSM equation was 0.986. Optimum design was conducted using the RSM equation Multi-island genetic algorithm was used to optimum design. Optimum value for Low-length. Side-length, Upper-thickness and Middle-thickness were 299.8mm, 180.3mm, 21.7mm, 21.9mm respectively. An approximate value of 5.054mm in deflection was expected to be a maximum under the optimum conditions. Six sigma robust design was conducted to find out guideline for control range of design parameter. To acquire six sigma level reliability, the standard deviation of design parameter should be controlled within 2% of average design value.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.574-578
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• 2005

The project objectives, called critical-to-quality (CTQs) in six sigma, should be defined to faithfully reflect the customer requirements. The identification of such a set of CTQs, which is currently done using brainstorming in practice, is a challenging task. Notwithstanding the rapid growth of the six sigma literature, development of a systematic procedure for identifying CTQs has scarcely been addressed. This paper proposes a systematic method for generating CTQ candidates based on the given voice of the customer in the DFSS/C (Design for Six Sigma / Commercial) context. By providing a step-by-step procedure, the proposed method ensures that all the important CTQ candidates are identified and subjective judgments are minimally required. Hence, the shortcomings associated with the existing practice based on brainstorming can be effectively overcome. The unique characteristics of the proposed method are also demonstrated via a case study.

• International Journal of Naval Architecture and Ocean Engineering
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• 제10권4호
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• pp.499-507
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• 2018

Autonomous Underwater Vehicle (AUV), which are becoming more and more important in ocean exploitation tasks, needs energy conservation urgently when sailing the complex mission path in long time cruise. As hull lines optimization design becomes the key factor, which closely related with resistance, in AUV preliminary design stage, uncertainty parameters need to be considered seriously. In this research, Myring axial symmetry revolution body with parameterized expression is assumed as AUV hull lines, and its travelling resistance is obtained via modified DATCOM formula. The problems of AUV hull lines design for the minimum travelling resistance with uncertain parameters are studied. Based on reliability-based optimization design technology, Design For Six Sigma (DFSS) for high quality level is conducted, and is proved more reliability for the actual environment disturbance.

• 대한기계학회논문집A
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• 제29권3호
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• pp.455-461
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• 2005

This research studied robust design of composite hand for LTR (LCD glass Transfer Robot). $1^{st}$ DOE (Design of Experiment) was conducted to find out vital few Xs. 108 experiments were performed and their results were statistically analyzed. Pareto chart analysis shows that the geometric parameters (height and width of composite beam) are more important than material parameters $(E_{1},\;E_{2})$ or stacking sequence angle. Also, the stacking sequence of mid-layer is more important than that of outer-layer. The main effect plots shows that the maximum deflection of LTR hand is minimized with increasing height, width of beam and layer thickness. $2^{nd}$ DOE was conducted to obtain RSM (Response Surface Method) equation. 25 experiments were conducted. The CCD (Central Composite Design) technique with four factors was used. The coefficient of determination $(R^{2})$ for the calculated RSM equation was 0.989. Optimum design was conducted using the RSM equation. Multi-island genetic algorithm was used to optimum design. Optimum values for beam height, beam width, layer thickness and beam length were 24.9mm, 186.6mnL 0.15mm and 2402.4mm respectively. An approximate value of 0.77mm in deflection was expected to be a maximum under the optimum conditions. Six sigma robust design was conducted to find out guideline for control range of design parameter. To acquire six sigma level reliability, the standard deviation of design parameter should be con trolled within $2{\%}$ of average design value

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.399-400
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• 2010

• 한국산학기술학회논문지
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• 제8권3호
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• pp.673-681
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• 2007

최근 새롭게 6시그마를 도입한 기업과 이미 장기간 품질분임조 활동을 진행해 왔던 제조업체를 중심으로 기존의 분임조 활동을 어떻게 6시그마와 연계시킬 것인지에 대한 논의가 활발한 상황이다. 본 연구는 품질분임조 활동과 6시그마를 결합한 절차를 실제 생산 공정 문제에 적용하고 그 효과를 입증하는 것을 목적으로 한다. 즉, 품질개선 활동의 단계적 절차를 수행함에 있어, 문제정의(Define), 측정(Measure), 분석(Analyze) 등의 초기 단계에서는 6시그마의 절차를, 개선(Improve)과 관리(Control)에 해당하는 후반부에서는 PDCA사이클을 중심으로 한 품질분임조 기법을 활용하였다. 특히 개선대상 과제(테마)를 선정함에 있어 계층의사결정(AHP)을 활용함으로써 보다 합리적인 의사결정을 추구하였으며, 실험계획법을 통해 공정 개선을 위한 최적의 대안을 선정하기도 하였다. 제안된 절차의 적용결과 불량률이 현저히 감소하고 상당한 비용절감의 효과가 있음을 확인할 수 있었다.