Operator allocation model and scheduling algorithm for flexible job-shop problem

To reduce crew expenses and raise operation profits of flexible production enterprises,a mathematical model was constructed on the basis of reasonable operator allocation scheme and optimal sequence of operations,and a multi-objective mixed algorithm was used for solving the problem.The operation is divided into two layers,and the man-hour optimization scheme can be acquired by genetic algorithm and dynamic programming method.A simulated annealing genetic algorithm was proposed to optimize the sequence of operations,in which the search was limited to the space of permutation vectors of the order,and a given set of jobs were performed in the first stage using a hybrid crossover operators and mutation operators to redesign the selection operators.A set of test results show that the proposed algorithm is effective.