The manufacturing resource optimization problem of federal collaborative development based on Markov Decision Process

To solve the problem of optimal allocation of cloud manufacturing resources considering of the uncertainty during the product development process, a Markov decision model for the development of the capability unit assignment is proposed. And the cross-entropy method is adopted to obtain the optimal allocation strategy of the developed capability unit by the learning strategy. The simulation results show that the optimal strategy is better than the stochastic allocation strategy, which can reduce the cost of product development and improve the efficiency of product development.