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首页> 外文期刊>International Journal of Production Research >A Fuzzy Qfd Program Modelling Approach Using The Method Of Imprecision
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A Fuzzy Qfd Program Modelling Approach Using The Method Of Imprecision

机译：基于不精确度的模糊Qfd程序建模方法

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The use of quality function deployment (QFD) to aid decision making in product planning has gained extensive international attention, but current QFD approaches are unable to cope with complex product planning (CPP) characterized by involving multiple engineering characteristics (ECs) associated with significant uncertainty. To tackle this difficulty, in this paper, fuzzy set theory is embedded into a QFD framework and a novel fuzzy QFD program modelling approach to CPP is proposed to optimize the values of ECs by taking the design uncertainty and financial considerations into account. In the proposed methodology, fuzzy set theory is used to account for design uncertainty, and the method of imprecision (Mol) is employed to perform multiple-attribute synthesis to generate a family of synthesis strategies by varying the value of s, which indicates the different compensation levels among ECs. The proposed methodology will allow QFD practitioners to control the distribution of their development budget by presetting the value of s to determine the compensation levels among ECs. An illustrative example of the quality improvement of the design of a motor car is provided to demonstrate the application and performance of the modelling approach.
机译：使用质量功能部署（QFD）协助产品规划中的决策已引起国际广泛关注，但是当前的QFD方法无法应对复杂的产品规划（CPP），其特点是涉及多个工程特征（EC）且存在很大的不确定性。为了解决这一难题，本文将模糊集理论嵌入到QFD框架中，并提出了一种新颖的CPP模糊QFD程序建模方法，该方法通过考虑设计不确定性和财务考虑因素来优化EC的值。在所提出的方法中，模糊集理论用于解决设计不确定性，不精确方法（Mol）用于执行多属性合成，通过改变s的值来生成一系列合成策略，这表明不同EC的薪酬水平。拟议的方法将允许QFD从业者通过预设s的值来确定EC的补偿水平，从而控制其发展预算的分配。提供了汽车设计质量改进的说明性示例，以演示建模方法的应用和性能。

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