Research of enterprise production early-warning management system based on artificial neural network

Enterprise production early-warning management system (EPEMS) is a new approach for modern ma- nagement. Some monitor indexes was established and applied to comprehensively assess the enterprise exte-rior environment and production management and taking pre-control measures to guarantee enterprise pro-duction operation activity in a safety and effective mode by judging the enterprise production management condition. Artificial neural network (ANN), with excellent nonlinear approximation ability, is widely applied successfully in many fields and thus used for EPEMS in this paper. According to the indexes and classifi-cation criteria influencing enterprise production management, the random distributing theory was used to produce efficient sample data, used in setting up neural network model. The case study shown that the method of producing samples and the EPEMS comprehensive assessment model based on ANN were reason-able and feasible.