融合粗糙集和人工神经网络的产品敏捷定制设计方法

Design method of product agile customization integrated rough set and artificial neural network

为快速响应客户需求和提高产品定制效率,通过分析产品设计过程的特点,结合粗糙集理论和神经网络方法各自的优势,提出一种融合粗糙集和神经网络的产品敏捷定制设计新方法,将粗糙集和神经网络方法有机集成应用于产品设计过程。该方法中,运用粗糙集对设计要求进行约简,提炼有效的决策条件;在此基础上,采用神经网络方法构建不同设计阶段的设计要求与其对应的产品结构间的网络模型,快速确定产品结构形式。并将该方法成功应用于某卷板机的总体方案定制设计过程。这种方法为实现产品敏捷定制开发提供了一种新的解决思路和技术手段。

In order to respond customer requirements quickly and increase product customized efficiency,in the paper,a novel design method of product agile customization based on rough set（RS） and artificial neural network（ANN） is put forward on the basis of analyzing product structural features and integrating the respective advantages of RS and ANN.In the method,design demands are reduced so as to form effective decision conditions by applying RS,and on that basis ANN models between design demands of different design stages and corresponding product structures are established so as to determine product structural styles quickly by applying ANN.Finally,this method is successfully applied to the general schematic design process of a roll plate machine＇s customization.The proposed method will provide a new resolvent and technological means for product agile customized development.