用层次分析法(AHP)确定QFD中客户需求权重

客户需求权重的确定是质量功能配置(QFD)实现过程中的重要一环，然而传统的确定权重的方法都有各自的缺陷。本文采用层次分析法(AHP)来确定客户需求的权重，首先建立了评价模型，并构造出比较判断矩阵，然后通过层次排序和一致性检验，最终获得了接近实际的客户需求权重结果。文章最后以某企业所生产的车床的客户需求为例，验证了用AHP法来确定QFD中客户需求权重的可行性。     

QFD质量职能扩展简介

介绍ＱＦＤ（质量职能扩展）的发展历史及其具体的操作过程。     

用QFD技术构建企业关键绩效指标体系

绩效管理是使企业不断获得成功的管理思想和具有战略意义的、整合的管理方法,绩效管理的起点就是企业关键绩效指标的确定,将QFD(quality function deployment)技术应用于企业KPI(key performance indicatorsI)的构建,用质量屋的形式层层展开企业KPI,提出一种将企业KPI体系转化为对企业各个部门、人员的要求的多层次演绎分析方法,即企业KPI体系的展开,为QFD技术在构建企业关键绩效指标体系中的应用提供了理论和方法.     

基于QFD质量工具集成的研究与应用

为消除产品设计制造过程中可能存在的冲突、模糊、潜在失效等因素的影响，将各种质量工具、方法与质量功能展开（QFD）进行集成研究。通过分析QFD与各种质量工具的关系，提出了一个支持产品开发的、集成的QFD系统模型，给出了产品设计与制造各阶段问题解决的方法和工具，并开发了集成的QFD软件系统（1QFDS）。通过IQFDS在起重设备的卷筒设计中的应用，表明采用集成化的QFD系统，不仅可以克服QFD所存在的缺陷，而且可优化产品的设计与制造过程。改进和提高质量水平，进而满足顾客需求。     

Use of ANP weighted crisp and fuzzy QFD for product development

Quality Function Deployment (QFD) is a popular planning method often used to transform customer demands/requirements into the technical characteristics of a new or improved product or service. In order to better capture (and represent) the multifarious relationships between customer requirements and technical characteristics, and the relative weights among customer requirements, in this study a hybrid analytic network process (ANP)-weighted fuzzy methodology is proposed. The goal is to synthesize renowned capabilities of ANP and fuzzy logic to better rank technical characteristics of a product (or a service) while implementing QFD. To demonstrate the viability of the proposed methodology a real-world scenario, where a new equipment to squeeze the polyethylene pipes to stop the gas flow without damaging the pipes, is developed. The ranking of technical characteristics of the product is calculated using both crisp and fuzzy weights for illustration and comparison purposes.     

顾客需求在QFD中地位的顾客满意度建模方法

为了客观的识别顾客需求,有效的获取顾客满意度,以质量功能展开(Quality Function Deployment,QFD)中顾客需求为研究对象,运用了层次分析法(Analytic Hierarchy Process,AHP)与QFD结合的方法,建立了AHP-CS模型,对顾客需求进行了定量识别,获得了顾客满意度.并以航天某公司为实例,对其顾客满意度测算公式做了修正,进而能够提高对QFD的后续工作的质量.     

QFD: The problem of comparing technical/engineering design requirements

An approach based on multiple-criteria decision aid (MCDA) methods has been introduced for the prioritization of technical/engineering design requirements during the quality function deployment (QFD) process. The proposed method allows the avoidance of the rigid procedure under which the relationship matrix coefficients are turned from an ordinal into a cardinal scale. A comparison analysis is carried out between the traditional approach and the proposed one. A numerical example is also provided so as to highlight the main differences between the two methods.     

An integrated approach for rating engineering characteristics’ final importance in product-service system development

Product-service system (PSS) approach has emerged as a competitive strategy to impel manufacturers to offer a set of product and services as a whole. A three-domain PSS conceptual design framework based on quality function deployment (QFD) is proposed in this research. QFD is a widely used design tool considering customer requirements (CRs). Since both product and services influence satisfaction of customer, they should be designed simultaneously. Identification of the critical parameters in these domains plays an important role. Engineering characteristics (ECs) in the functional domain include product-related ECs (P-ECs) and service-related ECs (S-ECs). ECs are identified by translating customer requirements (CRs) in the customer domain. Rating ECs’ importance has a great impact on achieving an optimal PSS planning. The rating problem should consider not only the requirements of customer, but also the requirements of manufacturer. From the requirements of customer, the analytic network process (ANP) approach is integrated in QFD to determine the initial importance weights of ECs considering the complex dependency relationships between and within CRs, P-ECs and S-ECs. In order to deal with the vagueness, uncertainty and diversity in decision-making, the fuzzy set theory and group decision-making technique are used in the super-matrix approach of ANP. From the requirements of manufacturer, the data envelopment analysis (DEA) approach is applied to adjust the initial weights of ECs taking into account business competition and implementation difficulty. A case study is carried out to demonstrate the effectiveness of the developed integrated approach for prioritizing ECs in PSS conceptual design.     

基于QFD和TRIZ理论相结合的产品质量的评估方法研究

现代社会消费者对产品的评价指标是衡量产品质量优劣的标准,如何对消费者的需求进行科学的评估成为提升产品质量,推动企业进步的一项重要因素。文章结合QFD和TRIZ理论的研究方式,将顾客的感性需求进行量化分析,为产品质量评估提供了量化的理论与方法,并通过实例进行合理的分析论证。     

Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average

Fuzzy quality function deployment (QFD) has been extensively used for translating customer requirements (CRs) into product design requirements (DRs) in fuzzy environments. Existing approaches, however, for rating technical importance of DRs in fuzzy environments are found problematic, either incorrect or inappropriate. This paper investigates how the technical importance of DRs can be correctly rated in fuzzy environments. A pair of nonlinear programming models and two equivalent pairs of linear programming models are developed, respectively, to rate the technical importance of DRs. The developed models are examined and illustrated with two numerical examples.