A case study on the application of Fuzzy QFD in TRIZ for service quality improvement

The improvement of service quality so as to enhance customer satisfaction has been widely mentioned over the past few decades. However, a creative and systematic way of achieving higher customer satisfaction in terms of service quality is rarely discussed. Recently, TRIZ, a Russian acronym which means “Theory of Inventive Problem Solving,” has been proven to be a well-structured and innovative way to solve problems in both technical and non-technical areas. In this study, a systematic model based on the TRIZ methodology is proposed to generate creative solutions for service quality improvement. This is done by examining first the determinants of service quality based on a comprehensive qualitative study in the electronic commerce sector. Then the correlation between the imprecise requirements from customers and the determinants of service quality is analyzed with Fuzzy Quality Function Deployment (QFD) in order to identify the critical determinants relating to customer satisfaction. After which, the corresponding TRIZ engineering parameters can be effectively applied in the TRIZ contradiction matrix to identify the inventive principles. A case study is illustrated to demonstrate the effectiveness of our approach in an e-commerce company, and its results are presented to show the applicability of the TRIZ methodology in the e-service sector.     

基于质量功能展开的顾客满意度研究

质量功能展开是基于顾客要求的结构化产品开发方法。把质量功能展开（Quality Function Deployment,QFD）方法引入顾客满意度研究中,建立了顾客满意度测评的质量屋模型。通过多阶段的QFD模型将总体顾客满意度逐步展开为易于顾客判断的指标,进而实施了顾客满意度指数的测评;并通过某家电企业的顾客满意度测评实例,说明了这种方法实施过程。     

Applying fuzzy quality function deployment (QFD) to identify solutions of service delivery system for port of Kaohsiung

The main purpose of this paper is to apply fuzzy quality function deployment (QFD) model to identify solutions of service delivery system (SDS) for port of Kaohsiung from the viewpoints of customers. At first, to facilitate the main issue of the QFD problem, however, the ‘what’ question of customer needs and ‘how’ problem of the services have to be made, which are two major components and be emphasized on the house of quality (HOQ) matrices. In conjunction with fuzzy sets theory, hence, the systematic procedures using fuzzy QFD were proposed in this paper. Subsequently, a case study for port of Kaohsiung demonstrated the systematic appraisal process for identifying solutions of SDS. The results of empirical study show that (1) 10 key factors are deemed as to have priority to improve the quality of SDS for Kaohsiung port; and (2) eight feasible solutions for improving service quality performance are identified. Moreover, it is suggested that port Authority of Kaohsiung should listen attentively the voice of customers and emphasize on exploiting these customer requirements effectively. And then develop the ‘how’ issues of profiles of solutions, which should continuously strengthen the perspectives of customer, internal business process, and learning and growth, respectively.     

基于QFD的汽车技术服务企业服务质量体系研究

本文首先介绍了基于质量功能展开(QFD)的汽车服务质量模型,并根据企业调研的客户需求和客户满意度,得出服务质量特性指标和重要度,将QFD运用到汽车技术服务企业服务质量的提升中。从该模型中找到汽车技术服务企业服务质量的薄弱环节并给出相应的提升服务质量的对策,帮助汽车技术服务企业提高服务质量。     

基于质量功能展开的连锁家饰店服务质量研究

质量功能展开(Quality Function Deployment,QFD)是一种透过质量屋的运作,系统地将顾客需求转换成工程要求的技术的方法。文中应用QFD导入PZB服务质量模式,整合模糊理论、Kano二维质量模式及顾客满意效益系数,分析连锁家饰店顾客服务质量需求的权重与排序,再以灰关联分析理论确定连锁家饰店各项工程要求质量的灰关联度值与排序,有助于经营者明确提高服务质量的重点。     

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.     

基于QFD方法的服务型制造企业服务质量改进研究

构建基于QFD方法的服务型制造企业服务质量改进研究模型,通过SPSS软件,对实例Y公司顾客需求的权重进行主成分分析,在此基础上运用灰色理论和模糊数学相结合的灰色模糊方法对Y公司服务质量进行评价,然后结合测评结果运用QFD方法,找到Y公司应该着力加强的服务措施。研究结果表明,权重分数较高的服务措施要素是进行服务补救、信息系统、员工素质、办事效率和培训,即要Y公司满足客户质量需求必须关注的要素,这些要素的好坏,直接决定了企业客户需求是否得到了满足。这类研究方法,对类似的服务型制造企业服务质量改进的研究,同样有很大的借鉴意义。     

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。     

Determination of an optimal set of design requirements using house of quality

Quality Function Deployment (QFD) has been used to translate customer needs and wants into technical design requirements in order to increase customer satisfaction. QFD utilizes the house of quality (HOQ), which is a matrix providing a conceptual map for the design process, as a construct for understanding Customer Requirements (CRs) and establishing priorities of Design Requirements (DRs) to satisfy them. Some methodological issues occurring in the conventional HOQ are discussed, and then a new integrative decision model for selecting an optimal set of DRs is presented using a modified HOQ model. The modified HOQ prioritization procedure employs a multi-attribute decision method for assigning relationship ratings between CRs and DRs instead of a conventional relationship rating scale, such as 1–3–9. The proposed decision model has been applied to an indoor air quality improvement problem as an illustrative example.     

基于质量功能展开的顾客满意研究

把产品设计的质量功能展开(QFD)方法引入到顾客满意研究中,提出了顾客满意的质量屋模型,该模型从驱动顾客满意的产品质量功能特性角度,围绕质量屋的七大要素,给出了提升顾客满意度的基本方法,最后通过某品牌手机顾客满意评价的实例说明了这种方法的实施过程。     

如何改进硬件售后维护的质量管理体系

激烈的市场竞争要求硬件生产商更注重设备售后维护的质量,以保持高的客户满意度。TL9000质量管理体系被全球电信产品提供商广泛用于硬件、软件和服务的质量管理。本文以通信网络设备生产商为背景,通过分析通信产品售后维护的模式和归纳TL9000在售后维护上的要求条款,发现TL9000缺乏针对产品售后维护多部门多接口的工作模式,和产品知识的继承与共享的质量管理。这两方面的质量管理对于能否圆满完成客户服务协议的和提高客户满意度有着重要的影响。所以需要对TL9000的要求条款进行补充,并在实践过程中细化工作流程。     

基于QFD的生产与运作管理课程顾客需求分析

论文首先对高校顾客进行识别,并对重要顾客加以分析,然后以QFD理论为指导,利用问卷调查的方法对《生产与运作管理》课程的重要顾客进行需求调查,在此基础上利用亲和图方法对该课程顾客需求进行分析。     

A fuzzy group decision-making approach in quality function deployment

Quality function deployment (QFD) is comprised of two major group decision-making processes. One is to collect the customer requirements from a group of customers, whereas the other is to determine the relationship between customer requirements and technical measures by a cross-functional team. Generally, different and/or even subjective opinions are quite often in a group decision-making process due to the limitations of experience and impreciseness. Obviously, the importance of each customer requirement and the relationship between customer requirements and technical measures are determined by a group of people with imprecision and vagueness. Under such circumstances, a fuzzy group decision-making approach can be applied in QFD to deal with a group decision-making process when the information is imprecise and fuzzy. Moreover, an example is provided as well as the computational steps to show this fuzzy group decision-making approach can be effectively used in QFD to make decisions with imprecision and vagueness.     

用模糊层次分析法确定QFD中消费者要求权重

质量功能配置(QualityFunctionDeployment,QFD),是能在产品开发及生产的各个阶段,将顾客要求转化为合理的技术要求的整体概念。在实施QFD的过程中,确定消费者的要求权重是一个关键而不可缺少的步骤。本文将模糊一致矩阵引入层次分析中,通过建立模糊一致矩阵来确定QFD中消费者要求权重。由于模糊一致矩阵更符合人们在决策过程中的心理特性,因此,它能提高确定消费者的要求权重的准确性。最后,用一个实例阐述了这种方法在QFD中确定消费者的要求权重中的应用。     

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.     

Using QFD method for the ecological designing of products and services

QFD method is a method in the area of quality management. In this publication, it has been modified and used in environmental management. As an example, ecologically modiefied QFD was implemented for Bedzin district in Poland. Implementing this method in a town allows to select activities that are crucial for fulfilling ecological requirements and it leads to the improvement of the life quality of the citizens.     

QFD在服装产品开发中的应用

首先对QFD作了简单介绍,然后结合顾客对服装产品的需求观念的改变,探讨了动态QFD在服装产品开发中的应用研究。     

Service quality of travel agents in Turkey

Customer satisfaction is an important measure of service quality in travel agents. Customers’ perceptions about agents seem to have been largely ignored by agent management in developing countries. The assessment of service quality provides an important feedback for agents to assess and improve its service to its customers. The aim of this study is to develop a reliable and valid instrument measure customer satisfaction in travel agents. A questionnaire to measure the service quality of travel agents was used and a total of 217 customers in Turkey were interviewed. Factor analysis was utilized to determine the factor structure. The instrument of the customer satisfaction developed in this study provides insights to the researches who study the improvement of customer satisfaction with service quality of travel agents and decision markers.     

Applying fuzzy quality function deployment to identify service management requirements for customer quality needs

In this paper a fuzzy quality function deployment to identify service management requirements for customer quality needs is developed. First, customer quality needs with importance degree have been investigated followed by development of service management requirements for satisfying the observed customer quality needs. Furthermore, construct a fuzzy relation matrix to link service management requirements and customer quality needs based on cross-functional expertise. The aggregated fuzzy assessments of various service management requirements are ranked to determine their importance priority. Finally, an empirical study for identifying the service management requirements for customer quality is used to demonstrate the proposed approach.     

A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment

Quality function deployment (QFD) has been developed by Toyota Motor Corporation in order to reduce time and shorten design times. QFD is composed of a set of matrices referred to as the house of quality (HOQ). A HOQ matrix can help the cross-functional team to translate customer requirements (CRs) into engineering goals. The importance of CRs and the relationships between CRs and technical characteristics (TCs) are obtained by a group of people with vague and fuzzy decision-making processes in the HOQ. In the conditions, a group decision-making method by using the combination of fuzzy set theory and genetic algorithms (GAs) can be used in QFD to determine the importance of each TC. Besides, a numerical example is illustrated to show that this group decision-making method by using the combination of fuzzy set theory and GAs can be reliably and precisely applied in QFD including TCs at the two-level hierarchy with the consideration of some constraints regarding budget and time limits of TCs for prioritizing TCs to effectively make decisions with fuzziness and ambiguousness.