SMT production line load balance optimization method considering uncertain production factors

The invention discloses an SMT production line load balance optimization method considering uncertain production factors, an SMT production line load balance optimization model is established based on stochastic simulation, fuzzy reasoning, a neural network and a heuristic algorithm, and the method comprises an initialization parameter setting module, a fitness calculation module and a fitness optimization module; the chemical parameter setting module is used for setting an initialization parameter value of the model; the fitness calculation module is used for calculating the fitness of the SMT production line load optimization model in which the uncertain production factors are introduced; the fitness optimization module adopts a genetic algorithm to perform heuristic optimization on the model fitness to obtain an optimal distribution scheme of the SMT production task; according to the method, uncertain factors in the production process are introduced when an SMT enterprise formulates a production scheme, so