• Journal of the Korea Safety Management & Science
• /
• v.6 no.1
• /
• pp.25-35
• /
• 2004

We achieved a Quantitative economic growth through rapid developed in 1970' and 1980'. It was confronted after IMF crisis that we needed to improve the past economic policy and the industrial structure. In line of that, the problem of the industrial structure like huge accidents of 1990' converted the recognition of safety. And to improve the conversion, the research of a safety management was needed. In this paper, we thought 4M1E(Man, Machine, Method, Material, Environment) as the cause of accident using the principal of process, assuming that output is accident. Applying 4M1E to the structure of QFD(Quality Function Deployment), we propose the safety function deployment, which has the flow line as followed; demand safety, safety characteristic, direct cause, 4M1E and safety management.

• Korean Management Science Review
• /
• v.13 no.3
• /
• pp.91-104
• /
• 1996

The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.05a
• /
• pp.719-732
• /
• 2006

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.566-573
• /
• 2005

Quality function deployment (QFD) is a useful tool for ensuring quality throughout each stage of the product development and production process. Since the focus of QFD is placed on the early stage, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results are likely to be misleading. This paper classifies the sources of uncertainty in QFD, and proposes a new approach to model and analyze the effects of uncertainty in QFD.

• Journal of the Ergonomics Society of Korea
• /
• v.17 no.3
• /
• pp.71-80
• /
• 1998

This study proposed a method to apply certain fuzzy-related Quality control concepts to design customer-oriented products considering user requirements and information starting with the product development stage. This approach showed how to define the importance level of design elements and how to Quantify complex subjective perception of products using the fuzzy linguistic rating method and quality function deployment concepts. Using this approach, various customer requirements could be interpreted and reflected on the early design phase of a new product. To validate the proposed method, an experiment was conducted for designing the shape of the beeper using 14 subjects and 10 commercial beeper products. Front area, width/length ratio, thickness, curve variance, weight, and display area were selected as design elements of the beeper. The results showed that among design elements, front area and weight are significantly related with the subjective perception of the products. Consequently, this study indicates that customer decision on product selection could be made by quantification of user perception for beeper products.

• Proceedings of the KAIS Fall Conference
• /
• 2003.06a
• /
• pp.233-236
• /
• 2003

점점 취약해지고 있는 우리 나라의 산업 경쟁력은 WTO 체제의 새로운 무역 질서와 치열해진 품질 및 생산성 경쟁으로 더욱 심한 어려움에 직면하고 있다. 품질 우위를 통한 산업 경쟁력 향상 노력은 기업마다 가지고 있는 공통적인 경영 과제가 되고 있지만 정부와 관련 단체 등의 의욕적인 품질경영(QM : Quality Management)시책과 노력에도 불구하고 이를 통한 가시적 경영 성과는 극히 일부 기업에서만 확인되고 있는 실정이다. 본 연구에서는 이와 같은 TQM 적용상의 이론적 과제 해결에 보다 접근하기 위하여 품질기능 전개(QFD : Quality Function Deployment) 방식을 조직에 적용하는 방법을 제시하였다. 즉 조직에 대한 품질기능 전개가 TQM체제 구축을 위해서 유용한 수단이 될 수 있음을 보이고, 어떠한 단계로 전개하는가를 단계별로 제시하였다. TQM 도입 단계에서 전 조직 부문과 계층을 품질기능이라는 요소로 시스템화하고 이 시스템을 통하여 전 부문이 조직적으로 참여할 수 있는 방안을 연구하였다.

• Journal of Korean Society for Quality Management
• /
• v.32 no.1
• /
• pp.130-143
• /
• 2004

Although consumer needs for better products force manufactures to put emphasis on design, often development of a product has been done without the formal process to consider consumer needs. In order to identify the implicit needs of customers and the areas of potential demand on a product, several analysis scheme such as QFD (Quality Function Deployment) has been developed. QFD, also known as the House of Quality, is the efficient tool ever created to tie product and service design decisions directly to customer wants and needs, i.e. VoC (Voice of Customer) To utilize this tool on a product design, first of all, the consumers attributes and the engineering characteristics must be exactly investigated. However there were only few studies about them on shoe design. Hence in this paper we developed an innovative framework for shoes design based on QFD. As a result, we uncovered 29 dominant human satisfaction dimensions as the consumers attributes for customer-oriented quality evaluation of a comfortable shoes. Here, 29 human satisfaction dimensions for a shoe design were identified as the dimensions that represent the human sensitivity and psychological feeling on comfortable shoes. Also, we proposed 60 human interface elements as the engineering characteristics. The relationships between human satisfaction dimensions and human interface elements were investigated. This study will help the designers and manufacturers clarify the conceptual and abstract aspect of the design evaluation by proposing a more systematic and process-oriented method.

• International Journal of Quality Innovation
• /
• v.4 no.2
• /
• pp.101-122
• /
• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.5
• /
• pp.385-396
• /
• 2015

The purpose of this study are in selecting a core service and drawing an analysis functions and service sector, based on contents of geo-spatial big data. For the study, the demand survey in the methodology has to be done by reviewing of preceding geo-spatial big data service. The survey has conducted by targeting on those experts in Industry-Academy-Research cooperation. From the survey, we could draw out requirements for the analysis function and the geo-spatial big data service sector. Also, order of priorities in service of four fields(Society, Environment, Economy, Humanities) has been utilized by a QFD(Quality Function Deployment). With the data, the first two priorities and required sectors for each field were selected for the analysis functions. From the result, we could suggest the core service model(plan), and also expect developments following each sectoral core service in the future.

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