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An evaluation approach to engineering design in QFD processes using fuzzy goal programming models

机译:使用模糊目标规划模型的QFD过程工程设计评估方法

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Quality function deployment (QFD) is a product development process used to achieve higher customer satisfaction: the engineering characteristics affecting the product performance are designed to match the customer requirements. From the viewpoint of QFDs designers, product design processes are performed in uncertain environments, and usually more than one goal must be taken into account. Therefore, when dealing with the fuzzy nature in QFD processes, fuzzy approaches are applied to formulate the relationships between customer requirements (CRs) and engineering design requirements (DRs), and among DRs. In addition to customer satisfaction, the cost and technical difficulty of DRs are also considered as the other two goals, and are evaluated in linguistic terms. Fuzzy goal programming models are proposed to determine the fulfillment levels of the DRs. Differing from existing fuzzy goal programming models, the coefficients in the proposed model are also fuzzy in order to expose the fuzziness of the linguistic information. Our model also considers business competition by specifying the minimum fulfillment levels of DRs and the preemptive priorities between goals. The proposed approach can attain the maximal sum of satisfaction degrees of all goals under each confidence degree. A numerical example is used to illustrate the applicability of the approach. (C) 2004 Elsevier B.V. All rights reserved.
机译:质量功能部署(QFD)是用于获得更高客户满意度的产品开发过程:影响产品性能的工程特性旨在满足客户要求。从QFD设计人员的角度来看,产品设计过程是在不确定的环境中执行的,通常必须考虑多个目标。因此,在处理QFD流程中的模糊性质时,采用模糊方法来制定客户需求(CR)与工程设计需求(DR)之间以及DR之间的关系。除客户满意度外,灾难恢复的成本和技术难度也被视为另外两个目标,并以语言进行评估。提出了模糊目标规划模型来确定需求响应的实现水平。与现有的模糊目标规划模型不同,所提出的模型中的系数也是模糊的,以暴露语言信息的模糊性。我们的模型还通过指定灾难恢复的最低实现水平和目标之间的优先优先级来考虑业务竞争。所提出的方法可以在每个置信度下获得所有目标的最大满意度。数值例子说明了该方法的适用性。 (C)2004 Elsevier B.V.保留所有权利。

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