Fuzzy measurable house of quality and quality function deployment for fuzzy regression estimation problem
Fuzzy measurable house of quality and quality function deployment for fuzzy regression estimation problem
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DOI：
10.1016/j.eswa.2011.04.095
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Qi Wu
中科院分区：
文献类型：
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作者：
Qi Wu
在当今竞争激烈的环境下，企业在产品开发的早期阶段对设计时间和精力进行评估是必要的。然而，对于产品设计时间（PDT），目前还缺乏系统的分析方法。为此，本文探索了一种评估PDT的智能方法。在开发初期，设计师缺乏足够的产品信息，难以通过主观评价来确定PDT。为此，提出了一种模糊质量屋（FM-HOQ）模型来提供可测量的工程信息。质量功能展开（QFD）结合“功能→原理→结构”的映射模式，从顾客需求中提取产品特征。然后，建立模糊支持向量回归机（fsrvrm）模型，融合数据，实现PDT的估计，利用模糊综合评价简化结构；总的来说，整个估计方法包括四个步骤：时间因素识别、QFD和功能映射模式的产品特征提取、FSVRM学习和PDT估计。最后，以注塑模具设计为例，说明了估算方法的实现过程。实验结果表明，该方法是可行和有效的。
In present competitive environment, it is necessary for companies to evaluate design time and effort at the early stage of product development. However, there is somewhat lacking in systemic analytical methods for product design time (PDT). For this end, this paper explores an intelligent method to evaluate the PDT. At the early development stage, designers are short of sufficient product information and have difficulty in determining PDT by subjective evaluation. Thus, a fuzzy measurable house of quality (FM-HOQ) model is proposed to provide measurable engineering information. Quality function deployment (QFD) is combined with a mapping pattern of “function→principle→structure” to extract product characteristics from customer demands. Then, a fuzzy support vector regression machine (FSVRM) model is built to fuse data and realize the estimation of PDT, which makes use of fuzzy comprehensive evaluation to simplify structure. In a word, the whole estimation method consists of four steps: time factors identification, product characteristics extraction by QFD and function mapping pattern, FSVRM learning, and PDT estimation. Finally, to illustrate the procedure of the estimation method, the case of injection mold design is studied. The results of experiments show that the fuzzy method is feasible and effective.