为有效支持大规模定制生产,需要不断地进化产品族结构。为此,提出了基于定制产品实例数据的产品族结构进化思想。产品族结构进化的因素包括零件变化和结构变化,重点研究了由于零件的变化而引起的产品族结构进化问题。首先,从非数值型和数值型两个方面对零件信息进行建模,然后,判定零件实例与产品族结构中零件模型之间的相似性,剔除与产品族结构中相似的零件,从而得到新产生的零件类型。在此基础上,计算新的零件类型在定制产品中的使用数量,将满足阈值条件的零件类型确定为向产品族结构中添加的新零件模型,从而实现产品族结构向满足客户本质需求的方向进化。最后,通过某纺织机械企业的相关产品的数据信息,验证了上述原理和方法的有效性。
In order to effectively support mass customization production, Product Family Architecture (PFA) needed constant evolution. To tackle this problem, PFA evolution based on customized product data was presented. Part change and structure change were two factors causing PFA evolution. Part change leading to PFA evolution was discussed in particular. Firstly, part was modeled with non-numerical information and numerical information. And then similarity between part instance in customized product and part model in PFA was identified, the parts similar to those in PFA were eliminated so as to generate new type of part. Secondly, the amount of new part used in customized product was calculated. Only those new parts which satisfied threshold condition would be appended to PFA. As a result, PFA evolution could meet with individual demand of customers. Finally, the effectiveness of these principles and methods were verified by product data of a textile machine company.