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A FORMAL PROCESS TO SUPPORT RESOLUTION OF FUNCTIONAL TRADE-OFFS IN COMPLEX PRODUCT DEVELOPMENT

机译:在复杂产品开发中支持功能折衷解决的正式过程

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This paper proposes a method to resolve trade-off problems between functionalities, which hinders unconventional improvement of a product. As products have become increasingly complex, it becomes difficult to grasp the whole aspects of a product. In order to resolve trade-off problems of a complex product, it is required to model the product in an appropriate form and to gather knowledge of experts in each domain. Although there have been several models to tackle with this issue, modelling still poses difficulties due to lack of clear guideline. This paper classified models into three types: function-based, cognition-based and physics-based. Then, their roles and description guidelines are clarified. As a function-based model depicts functionality of a product in a rather simple description, it is employed to specify significant tradeoffs. A cognition-based model depicts the designers' recognition of physical phenomena while a physics-based model rigorously depicts the physical phenomena. A cognition-based model is appropriate for ideation while physics-based model contributes to objectivity of a model. This paper proposes complimentary modelling and use of cognition-based and physics-based models. To support ideation of solution to the trade-offs, TRIZ is applied. The proposed method is demonstrated and validated by the case study of Continuously Variable Transmission.
机译:本文提出了一种解决功能之间权衡问题的方法,这种方法阻碍了产品的非常规改进。随着产品变得越来越复杂,很难掌握产品的各个方面。为了解决复杂产品的权衡问题,需要以适当的形式对产品进行建模,并收集每个领域的专家知识。尽管有多个模型可以解决此问题,但是由于缺乏明确的指导原则,建模仍然存在困难。本文将模型分为三种类型:基于函数,基于认知和基于物理。然后,阐明了它们的作用和描述准则。由于基于功能的模型以相当简单的描述描述了产品的功能,因此它被用来指定重大的权衡。基于认知的模型描述了设计师对物理现象的识别,而基于物理的模型则严格描述了物理现象。基于认知的模型适合于想法,而基于物理的模型则有助于模型的客观性。本文提出了基于认知和基于物理的模型的互补建模和使用。为了支持折衷解决方案的想法,应用了TRIZ。以无级变速箱为例,对所提方法进行了论证和验证。

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