基于环境资源因子的产品平台模块划分方法

发布时间：2018-03-05 10:30

本文选题：产品平台　切入点：模块化设计　出处：《计算机辅助设计与图形学学报》2016年02期 　论文类型：期刊论文

【摘要】：产品平台能够根据用户的个性化需求,利用模块化的零部件快速衍生出不同产品.通过分析基于环境资源因子的产品平台模块划分方法,将绿色理念贯穿产品全生命周期过程中,提出基于环境资源属性的产品集成信息模型.通过引入环境资源因子和零部件关联矩阵,分别建立了基于环境资源因子的绿色度目标函数和基于零部件关联矩阵的聚合度目标函数;提出一种改进的免疫克隆多目标优化算法,对二进制基因对进行变异与跟踪,在克隆选择中筛选出满足环境资源属性的非支配抗体,对产品平台的模块化分问题进行多目标优化求解,构建出能够量化评估产品的环境资源属性的产品平台,从而在满足客户对产品功能需求的同时提高了产品对环境的友好性.最后以采煤机为应用实例,通过与其他算法的对比以及与绿色影响程度的分析评价,对该方法进行了验证.
[Abstract]:The product platform can quickly derive different products according to the individual needs of the user and the modular parts. By analyzing the method of module partition of the product platform based on the environmental resource factor, This paper puts forward a product integration information model based on environmental resources attributes through the whole product life cycle of green concept. By introducing environmental resource factor and component correlation matrix, The green degree objective function based on environmental resource factor and the aggregation degree objective function based on component correlation matrix are established, and an improved immune clone multi-objective optimization algorithm is proposed to mutate and track binary gene pairs. In the selection of clones, the non-dominant antibodies that satisfy the attributes of environmental resources are selected, and the modular sub-problem of product platform is solved by multi-objective optimization, and a product platform that can quantitatively evaluate the attributes of environmental resources of products is constructed. Finally, the method is verified by comparing with other algorithms and analyzing and evaluating the degree of green influence.
【作者单位】：北京航空航天大学机械工程及自动化学院先进制造技术与系统研究中心;
【基金】：国家自然科学基金(51205010) 中央高校基本科研业务费专项资金
【分类号】：TH122

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