• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 춘계학술대회 논문집
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• pp.214-216
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• 2012

This paper relates to the automotive silencers reduce noise generated from the actual vehicle for the activity is based on was worth. To do this, the noise from cars to distinguish them by category, characteristics of turbo charger was designed to reduce noise. In order for the design of acoustic modeling using line dynamics, was analyzed using In house & the commercial software programs. Silencers have about several basic elements. Expand, collapse, perforated plate, and the combination are the basic reactive or dissipative elements. Finally, DFSS(design for six sigma) method was designed. and it was verified in vehicle test. The new developed silencers showed good performance vehicle test results. also, the net cost also indicated excellent results compared with other company.

• 대한기계학회논문집A
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• 제36권2호
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• pp.231-236
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• 2012

본 논문에서는 홀 효과(Hall effect) 기반 회전형 위치 센서의 출력 전압에 대한 선형성 및 민감도를 최적화하기 위해 DFSS(Design for Six Sigma) 방법을 적용하였다. 이를 위해 영구 자석의 치수 및 홀센서에 대한 상대 위치 등을 설계 인자로 하여 완전 요인 배치법을 사용하였다. 설계 인자의 수준별 센서 출력 전압값은 자속 밀도에 대한 Biot-Savart 해석해 및 홀 센서 고유의 자속 밀도-출력 전압에 대한 관계식을 이용하여 구하였다. 최적화된 설계 인자들을 반영하여 제작된 회전형 위치 센서의 개선된 출력 전압 측정 결과를 통해 제안된 방법은 간편하면서 실용적으로도 매우 유용한 방법임을 확인하였다.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2006년도 춘계학술대회
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• pp.153-157
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• 2006

현장의 품질 관리방법으로 식스시그마 DMAIC(Define-Measure-Analysis-Improve-Control) Process는 설계 분야의 Design for Six Sigma Process인 DMADV (Define-Measure-Analysis-Design-Verify), ICOV (Identify-Characterize-Optimize-Verify) Process 로 문제를 설계 단계에서 사전에 해결하는 How to do 의 방법, Process 로 확대되어 많은 기업으로 확대되고 있다. 또한 최근 신상품, 신사업 기획이 중요해지면서 What to do 에 해당하는, 블루오션 전략과 트리즈의 예측 방법과 Computer Aided Innovation Software를 포괄하는 DFSS의 확대 Process 와 그 효용에 대해서 본 논문에서 설명하고자 한다.

• 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.

• 품질경영학회지
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• 제39권1호
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• pp.131-140
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• 2011

Today, due to the global recession car sales have been decreased rapidly and auto makers are competing continuously to expand their market share. Automakers are struggling in order to secure competitive cost and quality through continuous cost reduction and quality innovation activities to win in the competition. In this situation, auto parts makers are trying to reinforce price competitiveness by reducing COPQ (Cost Of Poor Quality) in the mass production stages by securing the quality of components in advance from the design stage through DFSS (Design For Six Sigma) activities which is 6 sigma approach in the R&D field. However, auto parts makers have been undergone various confusion, feeling difficulties to get interrelationship among various activities. Thus, this study is going to suggest approach method for much more effective R&D activities by securing interrelationship between ISO/TS 16949 system established in the auto parts industry and DFSS activities.

• 자동차안전학회지
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• 제5권2호
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• pp.45-50
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• 2013

The whiplash Injuries due to rear collision occur frequently. As result, in many countries, seat performance is being assessed and developed to improve head whiplash injury in rear collision of passenger car. This study compares whiplash assessment methods in each country. Using the DFSS(Design for Six Sigma) method, the correlation between influence parameters of head restraints and whiplash injury criteria is analyzed. Four control factors are used in this study. And total 11 whiplash injury criteria from NCAP(New Car Assessment Program) of Korea, Europe, China and IIHS(Insurance Institute for Highway Safety) of USA are used for output response. By the experimental design, L9 orthogonal coordinate system is configured and is tested by sled test equipment, twice. By using average assay value and ANOVA, the correlation between control factors and injury criteria has been comprehended. Optimization design of head restraint according the regional seat safety assessment was derived through the correlation.

• 산업공학
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• 제25권4호
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• pp.393-404
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• 2012

Increasing safety requirements of automobile are asking companies to find out solutions, based on the ISO 26262 which is a functional safety standard. ISO 26262 is an adaptation of the IEC 61508 for automotive electric/electronic systems. ISO 26262 provides a V model for ECU (Electronic Control Unit) development process to secure safety against vehicle. It well describes the requirements, necessary works and their resulting products for each development phase. However, it is difficult to apply to product development for achieving functional safety in the electric/electronic systems of an automobile because it lacks explanation on the working steps to follow and the methodologies and tools to be used in each step. In this paper, we introduce the outline of the ISO 26262 product development process and present a DFSS (Design For Six Sigma) road-map based on the ISO 26262 product development process as a way to operate efficiently the ISO 26262 product development process. The DFSS road-map consists of five phases: Define, Measure, Analyze, Design, and Verify. The detailed activities, tools, inputs, and work products are given for each phase.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.882-886
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• 2004

A nation have the regulation for a vehicle safety and interested in the side impact of a vehicle. But we spend a lot of money and time for the side impact test. So we must design a vehicle parts regard to the side impact test. This paper describes a new test method for side impact test. We used DFSS(Design For Six Sigma) process for design of door trim armrest. We searched the door trim armrest control factor and made the experiment plan. We researched the optimal design factor and improved the abdomen injury value of the human dummy.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 춘계학술대회 논문집
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• pp.735-741
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• 2011

In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise effect through DFSS study. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized $95^{th}$ percentile of performance distribution is applied to minimize vehicle sensitivity and road noise levels variation during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.

• 한국소음진동공학회논문집
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• 제21권7호
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• pp.674-681
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• 2011

In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise effect through DFSS study. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized 95th percentile of performance distribution is applied to minimize vehicle sensitivity and road noise levels variation during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.