复杂机械产品服务系统服务活动聚类方法研究

Research on Clustering Method of Service Activities in Complex Machinery Product Service System

为实现复杂机械产品服务系统配置优化,首先应该对服务活动进行聚类。课题组提出把服务划分为复杂机械产品服务、服务功能集合、服务行为集合和服务活动4层层级结构。分析了服务活动的耦合关系,基于模糊聚类算法提出了复杂机械产品服务系统中服务活动聚类方法。以汽车产品服务为例,应用该方法获得汽车产品服务系统服务活动聚类方案,并采用逼近理想解法进行排序,选择出最优聚类方案。实际应用证明该方法为复杂机械产品服务系统服务活动聚类优化提供了合理的指导。

In order to realize the configuration optimization of service system for complex mechanical products,service activities should be clustered first.The service was considered to be divided into four levels:complex mechanical product service,service function set,service behavior set and service activity.The coupling relationship of service activity was analyzed,and a service activity clustering method in complex mechanical product service system was proposed based on Fuzzy clustering algorithm.Taking the automobile products and services as an example,the proposed method was adopted to obtain the clustering scheme of service activities in automobile product service system,and the optimal clustering scheme was selected by sorting with the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS).The practical application proves that this method provides reasonable theoretical guidance for clustering optimization of service activities in complex mechanical product service system.