聚类分析方法在企业班组管理中的应用

定量分析班组人员行为及其与生产管理的作用关系对做好企业的班组管理具有重要的指导意义. 本文采用社会网络分析方法,对某石化企业的人员行为和管理制度数据进行了聚类分析. 分析结果表明,在人员行为方面,不同班组之间的凝聚度差异较大,同班组中某个人对整个班组的凝聚度有较大影响; 而在管理制度方面,同类管理制度具有相似的表现,但存在特殊的节点,对总体表现有较大影响; 与管理制度相比,人员行为具有更小的最小方差分组指数,说明人员行为比管理制度能够更均匀地进行分类. 上述的量化评估结果对班组人员行为管理和管理制度的改进具有指导意义.

Application of Clustering Analysis to Team Management

Quantitative behavior pattern analysis of workers and its application to operation are very significant for team management. In this paper, clustering analysis of workers and management rules are implemented respectively via social network analysis method. The results indicate that the divergence of teams' cohesion is significatively high, and the behavior of some individual workers has great influence on the cohesion of the team as a whole. To management system, the rules in the same category have similar performance, but some solo rules have disparate performance to others in the same category. Comparing with the management system, the behavior of works has smaller minimum variance grouping coefficient, which indicates that it can be grouped more equably. Above quantitative evaluation can be used in supervising the behavior of workers and improving the management rules.