中文摘要：

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.

英文摘要：

Different products can be derived from the product platform based on modular parts according to cus-tomer demands. A module partition method was proposed on the basis of environmental resource factors. Ac-cording to green idea throughout the entire lifetime of product process, a new integrated information model was presented to quantify environmental impacts of products. Furthermore, green polymerization objective function and aggregation degree objective function were established by introducing environmental source factors and product components' incidence matrix respectively. A novel immune clonal multi-objective optimization algo-rithm for module partition was then put forward. It was accomplished by screening non-dominated antibodies sat-isfying environmental resource attributes through gene crossover and mutation. As a result, the multi-objective problem was solved, and product platform was built. It satisfied customer demands and improved product's envi-ronment-friendly characteristics. A case study of coal mining machine illustrated the implementation process and feasibility of the method. It was verified by algorithms analysis and comparison, and product's green influence degree was evaluated finally.