社会劳动力优化组合管理仿真研究

Research on the Simulation of the Optimization of Social Labor Force

对社会劳动力进行优化组合管理,可以提高劳动力的利用率。进行劳动力组合管理时,应首先获取劳动分工和产业聚集间的驱动力机制,组建劳动力产业集群演化驱动力模型,但是传统方法通过获取最高利润回报的决策集,计算劳动力产业集群演化中的统计加速项的权重,按照权重大小进行管理,但是不能很好的分析劳动分工和产业聚集间的驱动力机制,无法组建劳动力产业集群演化驱动力模型,降低了社会劳动力组合管理的效果,提出一种基于元胞自动机的社会劳动力优化组合管理方法。先融合元胞自动机理论组建劳动分工与产业集聚之间的动态矩阵,获取劳动分工下的产业集群动态演化过程,引入成曲线中逻辑斯蒂函数,模拟产业集群外部环境变量,用熵值度量产业集群演化的集中趋势,融合于博弈理论获取劳动分工和产业聚集间的驱动力机制,组建了劳动分工视角下的产业集群演化驱动力模型,完成社会劳动力优化组合管理,仿真结果证明,所提方法劳动力组合管理精确度高,为保障国内劳动产业聚集的健康发展提供了有利的依据。

An optimizing combination management method of social labor force is proposed based on the cellular automation. Firstly, the dynamic matrix between labor division and industry agglomeration integrated with the cellular automation is built, and the dynamic evolution process of industry cluster under labor division is acquired. Then, the logistic function in the curve is introduced, and the external environment variable of industry cluster is simulated. Moreover, the entropy is used to measure the centralized tendency of industry cluster evolution, and the driving force mechanism between labor division and industry cluster integrated with the game theory is acquired. Finally, the driv- ing model of industry cluster evolution under labor division view is built, and the optimization combination manage- ment of social labor force is completed. The simulation results show that the method has high management precision. It can provide beneficial basis for the sound development of civil labor industry cluster.