QFD方法与应用研究理论综述

本文回顾了质量功能展开(QFD)方法提出的背景及发展状况,总结了一些学者对QFD方法的定义,以及它的应用情况,最后简单总结了QFD的应用模式。     

QFD在大规模定制下快速设计中的应用研究

文章基于质量功能配置(QFD)方法适用性的分析,提出了对QFD方法进行改进以适应大规模定制下快速设计产品开发模式,并对QFD方法的主要工具质量屋,从内容和形式上进行了重构,最后进行了例子分析。     

供应链环境下的质量机能展开应用研究

基于供应链环境下QFD的理论研究，从供应链上厂商集合体与终端顾客间的关系为切入点，对产品／服务组合的QFD进行了定性分析，并以手机产品的供应链为例，应用QFD进行了质量目标的设计，最后得出了在供应链竞争的环境下以产品／服务组合的QFD比单一节点的QFD更能适应市场竞争需要的结论。     

质量机能展开(QFD)研究综述

文章以对QFD的EI检索结果为基础，从QFD的发展、内容、应用及方法论研究四个方面对QFD的研究进行综述，以便于理论和实践工作者进一步开展工作。     

质量管理中的QFD法

QFD是Quality（质量）、Function（功能）与Development（发展）的缩写,中文译为质量功能展开。质量功能展开由赤尾洋二和水野滋两位日本教授于上个世纪六十年代作为一项质量管理系统提出,目的是为了设计、生产充分满足顾客需求的产品和服务。丰田公司于70年代后期使用QFD取得了巨大的经济效益。福特公司于1985年在美国率先采用QFD方法。今天,在美国,许多公司都采用了QFD方法,QFD技术受到世界各国重视。     

“质量功能展开”（QFD）研究的最新动向（下）——第三代QFD的七个应用领域

（3）解决问题和实现课题用QFD QFD利用二元表可起到发现信息遗漏的作用以及筛选应解决问题的作用。然而，QFD通过编制二元表只是能发现某些问题，而并不能直接显示出对所发现问题的解决方法。也就是说，QFD只是用于发现问题的一种手段而已。QFD必须与统计手段、可靠性手段以及“创意法”等同时并用才能取得更多的效果。     

基于QFD模型的企业科技人才心理资本评价策略研究

质量功能展开(QFD)是基于顾客需求的产品设计方法,本文以企业中的科技人才为样本,将QFD技术引入心理资本质量评价中,将企业对科技人才的心理资本评价需求为出发点,通过质量屋将需求转化为评价策略,证明了QFD模型在心理资本评价中的有效性.实现了科技人才心理资本评价需求和企业心理资本评价策略的有效对接,最后对具体实施企业科技人才心理资本评价提出有益建议.     

QFD理论下高校教学质量设计与评估

运用QFD理论于高等职业教育教学质量设计反映以"顾客"需求出发的设计思想,通过量化学生能力需求及与课程的关系,提出了QFD理论下高等职业教育教学质量屋的设计方法,并以广东纺织职业技术学院2010纺织品设计专业为例,对课程体系的设计进行了量化评估。     

基于顾客需求转换的QFD方法改进研究

在顾客需求转换中,质量功能展开(QFD)理论和方法的应用成就突出,但也暴露出许多缺陷和不足,文章针对传统QFD理论的局限性,相应提出了具体解决措施。     

面向客户需求的企业物流战略制定策略

借助全面质量管理中的新产品开发工具——质量功能展开(QFD),本文提出了一种面向客户需求的、以市场导向的企业物流战略制定方法,即应用QFD进行企业物流战略制定。     

Advanced models of quality function deployment: a literature review

In this paper, a literature review conducted to study the characteristics of advanced models of quality function deployment (QFD) that have appeared in the literature arena is reported. QFD technique emerged in Japan in the 1970s. QFD has been proving to be a powerful tool that can be used for translating the voice of customers into technical languages. Yet from the beginning of this century, researchers began to point out the need to refine, modify and improve the features of QFD technique. In order to fulfil this need, few researchers brought out several advanced models of QFD. While conducting the literature review reported in this paper, six types of such advanced models of QFD were identified in the literature arena and their characteristics were studied. The result of this study revealed that the procedural and computational complexities are least in the case of an advanced model called total quality function deployment (TQFD). TQFD technique replaces the complex computations involved in applying conventional QFD technique with simple ratings. Besides the formation of teams to translate the voice of customers into work instructions ensures the quick reactions to the customers’ desires in the actual field of implementation. In this background, at end of this paper, it is suggested to adopt TQFD for implementation in traditional organizations in which the prevalence of adequate education for adopting complex procedures is found to be least.     

质量机能展开在新产品开发中的应用研究

文章以L冰箱公司所生产的家用冰箱为研究对象，演绎了把QFD技术引入到冰箱的开发中，以顾客和市场需求为出发点，进行质量机能展开，完成生产规划、零件配置、工艺规划、生产控制四阶段的质量屋过程，最后对具体实施QFD时可能遇到的问题提出了一些建议。     

QFD技术在计算机软件改造中的应用

本文介绍了质量功能展开（ＱＦＤ）技术在计算机软件改造中的应用，案例表明，该方法效果显著。     

Using OWA aggregation technique in QFD: a case study in education in a textile engineering department

Quality Function Deployment (QFD) is a systematic approach that considers customer needs through design, production, marketing, and support stages. Customer needs are the main input for QFD, so voice of customer must be understood well and changes, innovations, and treatments must be held in this view. In QFD applications, determining the priorities of customer needs is a fairly important stage. This is mostly held by Analytic Hierarchy Process (AHP) a multicriteria decision making technique. Nonetheless, Ordered Weighted Averaging (OWA) is an aggregation technique mostly used in decision making for multicriteria decision problems. So, combining these two techniques will give a different viewpoint for prioritizing the customer needs in QFD applications. The aim of this study is to show the use of Ordered Weighted Averaging (OWA) aggregation technique in QFD applications. For this purpose a case study in Dokuz Eylül University Textile Engineering Department was held. It was aimed to support the efforts on increasing the education quality by determining the students’ needs and opinions using QFD with OWA.     

Multi-layer quality function deployment (QFD) approach for improving the compromised quality satisfaction under the agency problem: A 3D QFD design for the asset selection problem in the shipping industry

The aim of this paper is to improve the quality function deployment (QFD) method by utilizing requirements of both the major customer and the service provider. The QFD method was first applied to the shipbuilding industry and the main goal of the method is to improve the production processes by using customer requirements in connection with the related technical measures of the product. However, one of the critical criticisms of the QFD is based on the lack of proper budget assessment and the satisfaction of the producer (or service provider). The multi-layer QFD design is proposed to collect responses from both customer and the service provider so as to ensure satisfaction of all parties including financial feasibility of the intended improvements. Hence, the agency problem between parties will be eliminated.     

质量机能展开在高等教育质量改进中的应用研究

为适应快速变化的社会需求,培养相应的专业人才,高等教育要构建一个有效的培养体系。本文综述了质量机能展开（QFD）在高等教育质量改进中应用的现状,分析了高等教育的系统模式,提出了质量机能展开在高等教育质量体系中的应用展望。     

A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare

Quality function deployment (QFD) is a proven tool for process and product development, which translates the voice of customer (VoC) into engineering characteristics (EC), and prioritizes the ECs, in terms of customer's requirements. Traditionally, QFD rates the design requirements (DRs) with respect to customer needs, and aggregates the ratings to get relative importance scores of DRs. An increasing number of studies stress on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is a paucity of methodologies for deriving the relative importance of DRs when several additional factors are considered. Ramanathan and Yunfeng [43] proved that the relative importance values computed by data envelopment analysis (DEA) coincide with traditional QFD calculations when only the ratings of DRs with respect to customer needs are considered, and only one additional factor, namely cost, is considered. Also, Kamvysi et al. [27] discussed the combination of QFD with analytic hierarchy process–analytic network process (AHP–ANP) and DEAHP–DEANP methodologies to prioritize selection criteria in a service context. The objective of this paper is to propose a QFD–imprecise enhanced Russell graph measure (QFD–IERGM) for incorporating the criteria such as cost of services and implementation easiness in QFD. Proposed model is applied in an Iranian hospital.