• 대한예방의학회:학술대회논문집
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• 2004.10a
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• pp.70.1-70.1
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• 2004

• Journal of the Korean Society of Systems Engineering
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• v.5 no.1
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• pp.67-72
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• 2009

User Requirements are analyzed and quantified by decision making models and system engineering methods to select alternative concepts which satisfy the various requirements. In this study, the design concepts for guided missile are derived using Quality Function Deployment(QFD) and Analytic Hierarchy Process(AHP). The design alternatives that satisfy the user requirements are extracted by QFD and Morphological Matrix, then the best design concept are obtained using AHP and Pugh concept Selection.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.279-290
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• 2014

Purpose: The purpose of this study is to propose adoption of QFD and Stage-gate in order to analyze the quality of korea defense system. Methods: Drawing change data of initial production phase in korea defense system were anlayzed and a practical method was proposed. Results: The results of this study are as follows; Off line Quality Control should be introduced in development phase. Specially, in case of defense system, the best method is QFD(Quality Function Deployment) and Stage-gate process. At first, QFD 1 step defines product planning from VOC(Voice Of Customer), QFD 2 step specifies part planning from product planning, QFD 3 step defines process planning from part planning, QFD 4 step defines production planning from previous process planning. Secondly, Stage-gate process is adopted. This study is proposed 5 stage-gate in case of korea defense development. Gate 1 is located after SFR(System Function Review), Gate 2 is located after PDR(Preliminary Design Review), Gate 3 is located after CDR(Critical Design Review), Gate 4 is located after TRR(Test Readiness Review) and Gate 5 is located before specification documentation submission. Conclusion: Off line QC(Quality Control) in development phase is necessary prior to on line QC(Quality Control) in p roduction phase. For the purpose of off line quality control, QFD(Quality Function Deployment) and Stage-gate process can be adopted.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.620-621
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• 2015

In this study, the multi-criteria decision-making model based on Quality Function Deployment Method is proposed. Multicriteria decision-making is an attempt to link QFD method with the TOPSIS. By this effort, a model that makes client's decision-making more rational and objective in design phase is suggested. The multi-criteria decisionmaking model confirming to the Owner's requirements will improve the productivity of the construction industry and the satisfaction of the customer. Further study extending the range of the requirements, not only the Owner's requirement will be necessary to cover the various factors as much as possible. And then, finally as a flexible platform to achieve a sustainable quality management, web-based multi-criteria decision-making model can be utilized by the relevant stakeholders simultaneously with the feed-back and sharing the necessary informations.

• Journal of the military operations research society of Korea
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• v.36 no.1
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• pp.65-76
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• 2010

This study is to apply the Quality Function Deployment Methodology to select the Navy Battle Lab location among possible location sites. The Quality Function Deployment is known to be one of the good methodology in reflecting users' need. Thus the Navy Battle Lab location should b e selected on the basis of satisfying the Navy and ADD requirments. The data to be applied in QFD has been collected from the Navy users and ADD researchers. After carrying out QFD procedures, Jinhae was selected as the best site of the Navy Battle Lab.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.24-30
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• 2006

In this study, the design concepts for Intelligent Hospital are derived using the Quality Function Deployment(QFD) and System Requirement Analysis Method. First, requirements for important elements of Intelligent hospital are defined. Second, similar systems are compared and user requirement are refined. Through this process, operational requirement for Intelligent Hospital are defined by combining user requirements and similar systems. To analyze operational requirement, the QFD of the system engineering approach are implemented. Alternative design specifications are constructed by implementing the QFD results by building the Morphological Matrix. Various concepts that satisfy the system requirement are derived. Finally the best design concept are obtained using the Pugh concept selection matrix.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.35
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• pp.79-88
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• 1995

The Quality Assurance System proposed in this study is based on the functional deployment of quality, which is an integration of the FAST(Functional Analysis System Techique) in VE(Value Engineering) and the Quality Development Method of TQC(Total Quality Control). The proposed Quality Function Deployment is proved to be an efficient tool for the consistent management of quality Assurance in every stages of product life cycle. The purpose of this study is therefore to develop practical and systematic methods for quality assurance activities, so as to satisfy the consumer's needs at the most economic level. To verify the feasibility of this approch, a case study is performed.

• International Journal of Contents
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• v.16 no.4
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• pp.26-38
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• 2020

Determining the optimal levels of the technical attributes (TAs) of a product to achieve a high level of customer satisfaction is the main activity in the planning process for quality function deployment (QFD). In real applications, the number of customer requirements for developing a single product is quite large, and the number of converted TAs is also high so the size of the house of quality (HoQ) becomes huge. Furthermore, the TA levels are often discrete instead of continuous and the product market can be divided into several market segments corresponding to the number of HoQ, which also unacceptably increases the size of the QFD optimization problem and the time spent on making decisions. This paper proposed a genetic algorithm (GA) solution approach to finding the optimum set of TAs in QFD in the above situation. A numerical example is provided for illustrating the proposed approach. To assess the computational performance of the GA, tests were performed on problems of various sizes using a fractional factorial design.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.15 no.26
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• pp.49-58
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• 1992

It is the greatest task to prescribe accurately and concretely consumer's needs of qualities into the product standards in an enterprise manufacturing and sailing products, From this point of view, Quality Function Deployment system is introduced to inguire into the establishing method of product standards closely Above all, the decision of quality characteristic in the product standards and the estblishing method of product standard are introduced to satisty in this repord. Applying to the product standards in Qulity Function Deployment system, frst it is systematically brought quality function to consumer's needs of qualities into the products. Second the method is concerned with quality function assurance applied in induction of product quality. Also it is available to establish method of product quality level in almost every company.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.948-957
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• 2003

금형산업은 ETO(engineer to order)방식의 산업으로서 각 주문마다 견적가를 책정하는 것이 손익에 큰 영향을 미치게 된다. 현재, 대부분의 금형업체에서는 금형주문에 대한 견적을 금형전문가의 개별적인 지식에 의존하고 있는데 이러한 방식은 주관적이며, 체계적이지 못한 문제점을 갖고 있다. 따라서 보다 합리적이고 체계적인 기준에 의한 견적가 결정 방법이 필요하다. 본 연구에서는 먼저 고객의 요구사항을 QFD(Quality Function Deployment)를 사용함으로써 금형제작에 있어서 원가에 영향을 미치는 요소를 추줄하게 된다. 이렇게 얻어진 금형제작 정보와 고객의 주문정보를 바탕으로 인공신경망, 사례기반주론 등의 인공지능 기법을 사용하여, 사출금형의 견적가를 책정하는 사출금형의 견적지원시스템을 개발하고자 한다.