Engineering design primarily focuses on product improvement through enhancing existing functionalities, integrating features, or adding new capabilities. In other words, it can be said that more design(adaptive design) changes to existing products based on benchmarking with competing products, differentiation strategies, changes in customer needs, etc. are actually performed rather than developing new products that did not exist before. Especially in the case of custom production, such as ships or buildings, a significant portion of actual design work involves modifying and adjusting past performance data according to the current customer's requirements. Therefore, design methods should be developed in a way that effectively supports these processes. Therefore, in this study, as QFD (Quality Function Deployment) ‘analysis of existing products’ and ‘creation of new alternatives’ is supported in Marine Concept Design with AHP (Analytic Hierarchy Process) techniques such as ‘Value Evaluation in Analysis Work’ and ‘Design Alternative Evaluation’, as a result, basic research was conducted on whether it could be used as a tool to effectively support the flow of the design process.

Recently, small and medium-sized manufacturing companies have shown increased interest in and participation in smart factories in order to survive in market competition. However, many SMEs build smart factories without a systematic review or preparation, which leads to them not being able to use them properly. This study considers the main reason for the low utilization rate of smart factories to be a lack of sufficient reflection of user requirements. Therefore, a method and procedure for deriving the priority of smart factory requirement functions and operating performance indicators based on QFD is proposed as a solution to this issue.

최근 들어 연구기관 및 기업에서 특허 출원 및 등록이 지속적으로 증가함에 따라 특허 관련 비용뿐만 아니라 특허의 양적 질적 관리도 매우 중요한 요소로 대두되고 있다. 따라서 기업 및 기관이 보유하고 있는 많은 특허 중에서 활용 목적에 맞는 우수 특허를 선별 하고 관리하는 것이 특허경영의 한 방안으로 강조되고 있다. 본 연구는 기업이 보유하고 있는 특허를 대상으로 QFD를 적용하여 가치 있는 우수 특허를 효과적으로 선별하는 방안을 제시하였다. QFD를 이용하여 특허를 분류하고 품질을 정량적으로 평가하기 위해서 우선 특 허에 대한 기업의 요구사항 및 특허품질 특성지표를 도출하였다. 기업의 요구사항의 경우 AHP의 쌍대비교 방식으로 중요도를 결정하였으며, 이를 바탕으로 고객의 요구를 충족시킬 수 있는 특허지표의 값을 결정하고, 이에 대한 해석 및 활용방안에 대해서 논했다. 본 연구에서 제시한 우수특허 선별 방식을 실제 기업의 보유 특허에 적용하여 결과를 비교 분석하였으며 개별 특허지표 및 특허복합지표를 통해 우수 특허를 비교적 손쉽게 선별할 수 있음을 보여 주었다.

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.

Logistics companies want to be competitive companies in fierce logistics market and are worrying about securing of differentiated competitiveness for it. The standards judging if logistics industry maintains the competitiveness are based on the satisfaction of users due to the well-established service system that can response not only economic feasibility of logistics costs such as transportation costs, storage costs, unloading charges, information costs, etc. but also diversity and upgradability of logistics needs. Therefore, this study focuses on seeking of service quality improvements with VBSD(Value Based Service Design) model focusing on customer value factors based on Kano model and QFD based service design approach from angles of customer value improvement and service costs reduction.

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.

Recently, companies are trying to gain a competitive advantage in the market to meet the voice of customer. For this purpose, QFD has been used as product development technology in many areas to include the customer’ requirements. Also, Kano model has been used to understand the customer’ requirements for an effective way. Therefore integration of Kano model and QFD can more efficiently reflect the customer’ requirements when designing a new service. This paper proposes PI index by taking into account the current satisfaction position of our company and competitors while IR (Improvement Ratio) value was set uniformity. This study suggests a more accurate index to predict potential improvements and calculates the final importance or priority. Through case studies targeted at elevator maintenance companies, we can have a general idea how much to improve in the near future and estimate the final importance of customer requirements.

We propose a method using QFD for design the hierarchical structure of AHP. This method provides definition for each area of House of Quality and design the hierarchical structure of the bottom-up QFD/AHP in which the upper hierarchy is designed through the classification of common characteristics with a focus on the lower hierarchy. Finally, we apply it to the development of an evaluation index for selecting heavy lifting service providers. This study has significance as the first instance of designing the archical structure of AHP after objectively verifying whether MECE condition, the basic requirement for AHP design, is satisfied.

Determining relative importance among many quality attributes under financial constraints is an important task. The weighted value of an attribute particularly in QFD, will influence on engineering characteristics and this will eventually influence the whole manufacturing process such as parts deployment, process planning, and production planning. Several scholars have suggested weighting formulas using CSC (Customer Satisfaction Coefficient) in the Kano model. However, previous research shows that the validity of the CSC approaches has not been proved systematically. The aim of the present study is to address drawbacks of CSC and to develop APC (Average Potential Coefficient), a new approach for weighting of quality attributes. For this, the current study investigated 33 quality attributes of e-learning and conducted a survey of 375 university students for the results of APC, the Kano model, and the direct importance of the quality attributes. The results show that the proposed APC is better than other approaches based on the correlation analysis with the results of direct importance. An analysis of e-leaning’s quality perceptions using the Kano model and suggestions for improving e-learning’s service quality are also included in this study.

This intensity is now on a global scale with countless universities across the globe competing for better services, programs and diplomas. For to counteract such a considerable change, in this paper CTQ(Critical to Quality) is extracted for the improvement of the education quality using QFD(Quality Function Development) in college. QFD is a structured approach to seek out voice of customers, understanding their needs, and ensure that their needs are met. First of all, the requirements of the customer are surveyed and analyzed, and then with these results the strategic alternatives are decided. In sequence, the importance and assessment ratings on the requirement of customers are surveyed. Finally, from the relation between the requirement of customers and the strategic alternatives the CTQ is extracted. The derived CTQ is reviewed and analyzed in detail. It'll have major positive effects on the competitiveness of college as well as the education quality of departments.

Recently the market of the food waste disposer has increased. Therefore, many companies in the development of food garbage disposer has been increasing interest. In this study, we used QFD (Quality Function Development) to find out the quality factors for the development of the food waste disposer reflecting the consumer needs. HOQ (House Of Quality) showing the correlation between consumer characteristic and engineering characteristic was written by investigating the consumer needs based on the consumer complaints and survey. In addition, we generated the CTQ (Critical To Quality) reflecting the weighting of the importance of the parts. As the research result, the important quality factors for the food garbage disposer were the grinding capability, drying, and odor emission features. The crushing motor associated with grinding and dehydration appeared as the most important quality factors among the parts. Second thing was the fan motor associated with odor. The findings will be able to contribute to the development of the food waste disposer reflecting the consumer needs.

Reliability tools such as QFD and FMEA identify voice of customer related to product design, its use, how failures may occur, the severity of such failures, and the probability of the failure occurring. With these identified items, a development team can

본 논문은 QFD(Quality Function Development)기법을 활용하여 소비자의 요구사항을 반영한 음식물 처리기의 핵심 품질 요소를 도출하는데 목적을 두었다. 일반 소비자와 관련업계 종사자를 대상으로 설문조사와 FGI를 실시하여 VOC(voice of customer)를 도출하였고, 전문가 그룹을 통해 EC를 도출하여 VOC와 EC(Engineering Characteristic)간의 상관관계를 도표화 하여 HOQ(House Of Quality)를 작성하였다. HOQ 차트를 통해 분쇄건조식 음식물 처리기에 있어 우선시 되는 것은 음식물 분쇄기능, 건조기능 외에 냄새 배출기능, 외관 색상 등의 요소가 중요한 품질요인이라는 결과을 도출하였다. 부품별 요인으로는 분쇄 탈수와 관련 된 모터와 냄새 제거와 관련한 팬모터가 가장 핵심 부품으로 고려되어야 한다는 결과를 도출하였다.

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.

본 연구는 전사적 프로젝트 관리 시스템(예:동부그룹)구축 초기 설계 단계에서 주요 이해관계자로부터 시스템 이용시 반영하고자 하는 주요 기능을 QFD를 활용 도출 하고자 하였다.주요 이해관계자로는 임원,중간 관리자,일반 사용자,시스템 관리자등 4그룹으로 나눠 진행되었다. 설문조사 결과 고객의 원하는 기능은 크게 주요 어플리케이션 항목,시스템 보안,데이터 분석으로 그룹핑 할 수 있었으며 고객 요구에 맞는 품질 특성으로는 시스템 사용자 편의성,데이터 신뢰성, 데이터 분석 용의성 등이 도출 되었다. 요구 사항과 품질 특성을 매트릭스로 각 항목간 대응관계를 표시해서 품질표를 작성한 결과 고객들은 시스템 설계시 최우선 핵심 항목으로는 업무에 맞는 기능 제공과 프로그램 오류 방지, 다양한 조건 검색을 원하는 것으로 나타났다.