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An innovation funnel process for set-based conceptual design via DOE exploration, DEA selection and computer simulation

机译:通过DOE探索,DEA选择和计算机仿真进行基于集合的概念设计的创新漏斗过程

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This paper presents a conceptual design approach including pattern creation from designers, alternative exploration with a DOE matrix, alternative analysis via computer simulation and alternative selection by DEA analysis. Designers possessing domain knowledge create various design patterns to meet the requirements of product performance and customer expectations. Then, based on these design patterns, the alternatives, considered as decision-making units (DMUs), are extracted from various quality level combinations by following the use of the DOE matrix. The nature of the DOE matrix ensures that distinctive representatives are constructed for all design alternatives. The total alternatives (DMUs) consist of the alternatives associated with all the patterns. Computer simulation with ANSYS software is introduced to convert the quality level combination of each alternative (DMU) into simulated outputs, which are further categorised into DEA inputs and DEA outputs for DEA frontier analysis. Four DEA methods, CCR-min input, CCR-max output, BCC-min input and BCC-max output, are used for analysing typical market representativese-resulting from market uncertainty. The found efficiencies are used to rank and select the explored alternatives (DMUs) for the next stage of the detailed design. A bike-frame product is chosen as an example to demonstrate the proposed approach. The results clearly show that the proposed approach enables designers to economically select appropriate design alternatives that satisfy performance expectations during the conceptual design stage.
机译:本文提出了一种概念设计方法,包括设计师的图案创建,使用DOE矩阵进行替代探索,通过计算机仿真进行替代分析以及通过DEA分析进行替代选择。具有领域知识的设计师可以创建各种设计模式,以满足产品性能和客户期望的要求。然后,基于这些设计模式,通过遵循DOE矩阵,从各种质量级别组合中提取被视为决策单位(DMU)的替代方案。 DOE矩阵的性质可确保为所有设计替代方案构建独特的代表。总替代方案(DMU)包括与所有模式相关的替代方案。引入了使用ANSYS软件进行计算机仿真,以将每个备选方案(DMU)的质量水平组合转换为仿真输出,然后将其进一步分为DEA输入和DEA输出,以进行DEA前沿分析。四种DEA方法,CCR-min输入,CCR-max输出,BCC-min输入和BCC-max输出,用于分析由于市场不确定性而产生的典型市场代表。所发现的效率用于对详细设计的下一阶段进行排序和选择探索的替代方案(DMU)。以自行车车架产品为例来说明所提出的方法。结果清楚地表明,所提出的方法使设计师能够经济地选择在概念设计阶段满足性能预期的合适设计替代方案。

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