• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.167-171
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• 2001

In this paper, the QFD(quality function deployment) technique is used to acquire the quality requirements of package software which is sold in a commercial software shop. To select the principal quality characteristics of package software, an user survey was conducted for a quality model developed based on the international standards and the previous research. The software user is divided into three groups：the general user, the expert, and the developer. The method of QFD is applied to choose the software quality attributes which have strong correlation with the selected quality characteristics.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.87-103
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• 2006

The aim of this paper is to establish the evaluation system of improving urban logistics using the QFD(Quality function Deployment) model which can facilitate to grasp the improving degree of realizing the system conforming to the relationship of all process and the process improvement. At the first stage, the established system through the QFD method will be used to evaluate and diagnosis the level of urban logistics in Cheonbuk District. The second stage is to investigate the important components that can make prompt improvement of urban logistics. Then, the sensitivity analysis is to be performed and the degree of improving urban logistics will be presented according to the rising degree of the relevant components.

• Journal of Korean Society for Quality Management
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• v.41 no.2
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• pp.197-208
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• 2013

Purpose: This study proposed a systematic approach to measure eco-efficiency of products based on the concept of quality function deployment(QFD). QFD method has been used to convert customer's subjective requirements to design specifications. A extension of QFD to environmental issues is known as quality environmental function deployment(QEFD). QEFD includes environmental requirements into customer's demand for quality, and incorporates them to design specifications of a product. Methods: In this study, we compared eco-efficiency of old and new models through application of QEFD. Results: The result revealed that the new model's eco-efficiency improved 24% better than the old model. Also, we found that user's Factor X of the new model has been improved to 1.178, which is about 18% better than that of the old model. Conclusion: This study implied that we can systematically use QEFD to determine eco-efficiency of two comparable products in any industries.

• Journal of the Ergonomics Society of Korea
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• v.26 no.3
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• pp.101-109
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• 2007

This research is for developing a usability evaluation model based on customer sensation using Quality Function Deployment, which evaluates the relationship between consumer sensation and usability among the physical design factors of dishwashers. Four aspects of the evaluation model; overall sensation factors, detail sensation factors, usability evaluation factors and physical design factors of products were analyzed in three sequential processes of QFD. The sensation evaluation factors and the usability evaluation factors were created from regression analysis of the results of the sensation and usability test. Moreover, thirty-one physical design factors selected through group discussion of ergonomist and manufacturers. Among them, 19 physical design factors according to priority were applied to evaluation model using QFD. With the evaluation model using four aspects, physical design factors influencing user sensation were generated. These factors were 'alarm sound', 'dishwasher size', 'button size' and 'display size'. Consequently, the degree of influences was tested. Design guidelines for dishwashers were derived from finally generated physical design factors.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.138-149
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• 2016

Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by translating customer requirements (CRs) into technical attributes (TAs), and subsequently into parts characteristics, process plans, and manufacturing operations. A main activity in QFD planning process is the determination of the target levels of TAs of a product so as to achieve a high level of customer satisfaction using the data or information included in the houses of quality (HoQ). Gathering the information or data for a HoQ may involve various inputs in the form of linguistic data which are inherently vague, or human perception, judgement and evaluation for the information and data. This research focuses on how to deal with this kind of impreciseness in QFD optimization. In this paper, it is assumed as more realistic situation that the values of TAs are taken as discrete, which means each TA has a few alternatives, as well as the customer satisfaction level acquired by each alternative of TAs and related cost are determined based on subjective or imprecise information and/or data. To handle these imprecise information and/or data, an approach using some basic definitions of fuzzy sets and the signed distance method for ranking fuzzy numbers is proposed. An example of a washing machine under two-segment market is provided for illustrating the proposed approach, and in this example, the difference between the optimal solution from the fuzzy model and that from the crisp model is compared as well as the advantage of using the fuzzy model is drawn.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.93-100
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• 2008

Quality function deployment (QFD) provides a specific approach for ensuring quality throughout each stage of the product development and production process. Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results are likely to be misleading. It is necessary to equip practitioners with a new QFD methodology that can model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. Robust QFD is an extended version of QFD methodology, which is robust to the uncertainty of the input information and the resulting variability of the QFD output. This paper discusses recent research issues in Robust QFD. The major issues are related with the determination of overall priority, robustness evaluation, robust prioritization, and web-based Robust QFD optimizer. Our recent research results on the issues are presented, and some of future research topics are suggested.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.113-122
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• 2007

Quality function deployment(QFD) is becoming a widely used customer oriented approach. The aim of this paper is to present an analytic method of quality function deployment that is to maximize customer satisfaction, using a customer satisfaction survey conducted in the college in Korea. Combining weights and satisfaction indices, "performance/important" diagrams are to develop and this grid can be used in order to identify priorities for decision making. Also, this paper shows a 0-1 integer programming model for maximizing customer satisfaction subject to a budget constraint in QFD planning process with case study.

• Journal of Korean Society for Quality Management
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• v.30 no.1
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• pp.1-21
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• 2002

The purpose of this study was to empirically examine the customer oriented quality creation by considering quality elements required by customers in the product design process. The study tried to extract attractive quality elements by using Kano's model. After identifying the elements HOQ(the house of quality) of QFD(quality function deployment) was used to identify the trend of quality elements evaluation. Test for equal means (t-test) was applied to verify the attractive quality elements of adult shoes. It made us find the customer oriented quality elements from the customer needs and latent dissatisfaction. We collected the opinions of experts on shoes and complete the cause and effect diagram and affinity diagram (KJ method). The data of the questionnaire was put to the QFD and the contents of quality elements was identified by brain storming method. We calculated indexes which were the multiplication of weight and marks of quality elements in the cross table of the HOQ by QFD. Then we tested for the equality of means between the indexes and the sum of attractive quality elements. The results for equal means were statistically significant. To create the customer quality the product design should be differentiated between the age groups over attractive quality elements.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.45-48
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• 1997

SEI(Software Engineering Institute)의 CMM(Capability Maturity Model)은 소프트웨어 개발 공정 및 조직의 성숙도를 5개의 계층적인 단계로 분류, 평가하며, 성숙도 측정의 기준으로 계량적인 메저먼트를 각 단계별로 제시하고 있다. 본 연구에서는 CMM에 의해 제시된 메저먼트에 근거하여 정의되고 사용된 척도의 선정에 정보시스템 개발 및 품질 관리 기법인 QFD(Quality Function Deployment)를 적용하였다. 척도 사용자 그룹으로부터 CMM의 관심 영역, 사용 척도, 척도 계산에 필요한 측정치, 소프트웨어 개발 생명주기에 이르는 과정을 단계적인 흐름으로 파악하여 적절한 척도를 선택하는 데 본 연구의 목적이 있다.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.179-184
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• 2008

The aim of this paper is to establish the evaluation system of port logistics of Incheon using the QFD(Quality Function Deployment) model. The research methodology is consisted of four phases. The first step is to investigate the important factors consisting the port logistics of Incheon and then calculate the weighting of factors by Analytic Hierarchy Process (AHP). The second step is to draw out the degree of inter-relation among factors by Fuzzy Subordination Relations (FSR). At the third step, the established system through the QFD method using results of the first and second steps will be used to evaluate and diagnosis the level of port logistics of Incheon. Finally, the sensitivity analysis will be performed and the degree of improving port logistics will be presented according to the rising the relevant factors.