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Prediction Model of Employee Flow Based on Semi-Markov Chain and its Application Analysis

The core of human resources management is to manage and regulate the flow process of the whole process of employees' training and promotion. Scientific and reasonable staff turnover forecast is the key to achieve efficient and accurate human resource management. Based on the semi-Markov chain, this paper constructs the flow model of employees among turnover, promotion, training, salary increase and so on. Based on the above mobility model, a human resource management-oriented team structure monitoring and optimization system is designed to provide enterprise managers with the ability of workforce structure monitoring and planning adjustment.