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Design targets determination for inter-dependent product attributes in QFD using fuzzy inference

机译:使用模糊推理确定QFD中相互依赖的产品属性的设计目标

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摘要

Since imprecision, vagueness and ambiguity are often innate in human semantics, a flexible and tolerant method is needed to decode the voice of customer (VoC), so that the essential customer requirements can be identified and duly addressed. Quality function deployment (QFD) is a well-known methodology for projecting the customer requirements onto the relevant design and production requirements and actions plan. This paper proposes an intelligent approach which extends the applications of QFD beyond its conventional boundary. The fuzzy inference technique is adopted to accommodate the possible imprecision and vagueness during VoC interpretation. The resulting model maps the customer requirements onto the relevant product attributes, taking into consideration their relationships and correlation during the inference process. The sub-conclusions drawn from the fuzzy inference process are aggregated and defuzzified to yield the crisp design targets which can be used to guide the downstream manufacturing planning and control activities.
机译:由于不精确性,模糊性和歧义性通常是人类语义中固有的,因此需要一种灵活且宽容的方法来解码客户的声音(VoC),以便可以识别并适当地解决基本的客户需求。质量功能部署(QFD)是一种众所周知的方法,用于将客户需求投影到相关的设计和生产需求以及行动计划上。本文提出了一种智能方法,将QFD的应用扩展到其常规范围之外。在VoC解释过程中,采用模糊推理技术来适应可能的不精确性和模糊性。生成的模型将客户需求映射到相关的产品属性,并在推理过程中考虑了它们之间的关系和相关性。从模糊推理过程中得出的子结论经过汇总和去模糊后得出清晰的设计目标,这些目标可用于指导下游制造计划和控制活动。

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