This study has utilized the Quality Function Deployment (QFD) technique in order to plan the tangible (menu) and intangible (service) product of dumpling restaurant. The engineering characteristics of tangible products were classified into product planning, purchase management, production management, and information management based on the production system of foodservice. The engineering characteristics of intangible products were also classified into physical evidence, human interaction, and pre-communication based on the service operation and delivery system. As a result of analyzing the QFD, it was found that the customer hope the hygiene factor and response factor to be improved. It is analyzed that product planning, information management, and production management should be improved first in terms of engineering characteristics considering consumer needs. In the future, by utilizing the systematic product development process that the requirements of tangible and intangible product consumers are converted to the engineering characteristics, the development of competitive product within the market will be possible, and furthermore it is expected to be useful for reducing the unnecessary time and design costs due to failure of product development.

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.

Quality function deployment (QFD) is a useful method in product design and development to maximize customer satisfaction. In the QFD, the technical attributes (TAs) affecting the product performance are identified, and product performance is improved to optimize customer requirements (CRs). For product development, determining the optimal levels of TAs is crucial during QFD optimization. Many optimization methods have been proposed to obtain the optimal levels of TAs in QFD. In these studies, the levels of TAs are assumed to be continuous while they are often taken as discrete in real world application. Another assumption in QFD optimization is that the requirements of the heterogeneous customers can be generalized and hence only one house of quality (HoQ) is used to connect with CRs. However, customers often have various requirements and preferences on a product. Therefore, a product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. To overcome these problems, this paper proposes an optimization approach to find the optimal set of TAs under multi-segment market. Dynamic Programming (DP) methodology is developed to maximize the overall customer satisfaction for the market considering the weights of importance of different segments. Finally, a case study is provided for illustrating the proposed optimization approach.

본 연구에서는 신뢰성경영시스템(IEC60300)을 기반으로 반도체 장비개발에서 신뢰성 확보를 위한 신뢰성기능전개의 개발과 적용을 다룬다. 고객의 신뢰성 요구사항에 가중치를 부여하여 설계요구 품질표, 기획 품질표를 실행하고 이를 이용하는 절차를 제시하고 이를 고신뢰성을 요구하는 반도체 장비업체 개발공정에 적용하였다. 제품개발과정에서 신뢰성우위를 갖는 구체적인 전략적 제품개발방안을 제시하였다.

The purpose of this study is to explore the applicability of QFD to product development of clothes by empirically applying it to development of a specific clothes, middle and elderly women’s formal knitwear. The voices of customers(VOCs) for formal knitwear was collected through in-depth interviews with 25 customers, shop masters, and designers. Also, questionnaires of which respondents were 230 customers were used to rank the importance of the items of VOC. A QFD team of 10 knitwear experts implemented the task of translating VOCs into design attributes and measuring the values of the relationships between VOCs and design attributes. Importance ranking of the items of design attributes was obtained based on Lyman’s method. The results of this study were as follows. First, the customer requirements for formal knitwear were classified into five dimensions, that is, symbolism, aesthetic, fitness, usefulness, and maintenance. Second, the descending order of the necessity of improving the quality was maintenance, aesthetic, fitness, usefulness, and symbolism. Third, three-staged design attributes were obtained as a result of translating of VOCs into design attributes. Lastly, the descending order of the importance of design attributes was “sorts of yarn”, “sorts of color jacquard”, “color”, “tone”, “ease”, etc.

Industrial processes and operations can not be accomplished independently but are connected with each others through suppliers and customer, and these ideas are fundamental notions of Life Cycle Assessment(LCA). This paper will introduce Life Cycle Assessment(LCA) in environment which is rising, and would like to build environmental management system using approach of Quality Function Deployment(QFD) and Safety Function Deployment(SFD) belonging to the assessment method.

Translating the "Voice of Customer" into business process is critical for developing products, services, and marketing programs that satisfy customers. Quality Function Deployment(QFD) is a technique which was born in Japan as a strategy for assuring that quality is built into new products. QFD was first used in 1972 by Kobe Shipyard of Mitsubish Heavy Industrials Ltd and was then referred to as the quality tables. After QFD is proposed, it has been applied by both many large and small companies around the world. Many studies related QFD are performed till now but study related "cost-based QFD(QFCD)" hasn't been performed actively. If cost-based QFD is not performed, the produced results will be included possibility that is not significant as well as realistic. Therefore, the purpose of this study is to improve effectiveness and efficiency for product development's result through QFD by introducing QFCD's concept, performance procedure and developed QFCD Software.

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly. The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.

The purpose of this paper is to describe a new analytic method of capital budgeting projects that takes into account both customer wants and competitor's status and to give decision makers a tool for goal setting and planning for technology. This model, which is based on quality function deployment(QFD), has used the analytic hierarchy process(AHP) to determine the intensity of the relationship between the variables involved in each matrix of the model and the 0-1 integer programming to determine the allocation of funds to various technological projects. This paper also proposes how to calculate the new weight of columns to consider various strength levels of roof matrix, representing the correlation among the quality characteristics, using Lyman's normalization procedure. To compare this model with Partovi's model, I adapt the same example which is suggested by Partovi and I show that the value of object function, has maximization problem, in this model is larger than that in Partovi's model.

The purpose of this paper is to describe a new analytic method of capital budgeting projects that takes into account both customer wants and competitor's status and to give decision makers a tool for goal setting and planning for technology. This model, which is based on quality function deployment(QFD), has used the analytic hierarchy process(AHP) to determine the intensity of the relationship between the variables involved in each matrix of the model and the 0-1 integer programming to determine the allocation of funds to various technological projects. This paper also proposes how to calculate the new weight of columns to consider various strength levels of roof matrix, representing the correlation among the quality characteristics, using Lymsn's normalization procedure. To compare this model with Partovi's model, 1 adapt the same example which is suggested by Partovi and I show that the value of object function, has maximization problem, in this model is larger than that in Partovi's model.

Global increase in the demand for the new Electrical and Electronic Equipment (EEE) results in the rapid increase of waste electrical and electronic equipment (WEEE) (or electronic waste). Significant efforts on developing diverse WEEE recycling policy and programs such as extended producer responsibility (EPR), WEEE directive, and the restriction of the use of hazardous substances (RoHS) directive are being made by many developed nations. This study focuses on determining priority among proposed WEEE recycling policy research projects by a number of experts from academia, institutions and recycling industry using quality function deployment (QFD) method to better manage and recycle WEEE in Korea. In order to develop effective WEEE recycling policy, a total of 12 different WEEE recycling policy research projects were proposed by a total of 11 experts related WEEE recycling. Reliability and validity evaluation of the proposed projects were conducted, along with SPSS statistical software. By using the QFD method, a survey regarding potential problems, suggestions, and difficulties at several WEEE recycling facilities were conducted and evaluated. Evaluation of the proposed projects was made by house of quality (HOQ). In this study, proposed research projects with higher importance index include WEEE collection system, development of WEEE recycling guideline, and establishment of WEEE generation/collection/recycling national database. The QFD method employed in this study can be effectively used as a decision-making process tool in WEEE recycling policy and road map.

본 연구는 컨테이너 터미널의 종합적인 성과 향상 요인을 분석하기 위한 균형성과표(BSC)를 설계한 후 분석계층프로세스 모형(AHP)과 분석네트워크프로세스 모형(ANP)을 활용하여 품질기능전개도(QFD)와 결합 모형을 사용하였다. 이는 재무적 성과, 고객 만족 및 컨테이너 터미널의 비즈니스 프로세스의 질적 향상을 가져 올 수 있는 컨테이너 터미널의 종합적이고 다차원적인 성과 요인 제시 및 중요도 분석에 목적을 두고 있다. 본 연구에서 제안한 수정된 품질기능전개도는 상관종속성과 관계행렬을 표현하므로 인해, 기존의 품질기능전개도와 비해 더욱 현실적이며 정확성과 정교성이 부가된 품질기능전개도를 구축했다.