Considering that the competences of employees are improved differently when they are in the various working statuses, we developed a new competence-driven staff assignment model by Markov decision process. The model seeks to minimize employee wage and maximize gains of the company from the improvement of desirable competencies. Finally, we proposed the genetic algorithm to solve the model.
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