Dynamics modeling of manufacturing information system and analysis of chaos
制造信息系统动力学模型及混沌特性分析

To solve the problem that chaos of manufacturing information system is hard to determine, qualitative and quantitative method was used. The model of decision-making layer in manufacturing information system was built by three main macro order parameters as control variable and the relations between the states was represented by automaton model. Fork graph which depicted the tracks of the system's evolution was drawn by the iterated methods, which would find the way to chaos and the states of related variables when being at chaos. The results show the evolution trajectory is different with when the initial condition changed, and the chaos will arise when weight of production efficiency added to some value. collected the locale production datas, and simulated the largest Lyapunov exponents by MATLAB software on the basis of small data sets methods, which proved the system lie in chaos.