Optimizing Maintenance Strategy of Multi-Stage Production System Based on Genetic Algorithm and Configuration

The optimized maintenance strategy of multi-stage production line is influenced by device processing ways, parts process plan and equipment deterioration process and other factors. Moreover, the production processes of parts exist constraint relationship. Based machining process plan of complex parts, the order relations of its operation processes is analyzed; the optimized multi-stage production line maintenance model is constructed with multiple objectives including production time, maintenance time, production cost and maintenance cost; the genetic algorithm is used to solve the model, and the Monte Carlo method is applied to carry out the simulation computation for fitness function of chromosome of genetic algorithm; the results give the maintenance threshold of each equipment of the line, their configurations and allocation of the various operation processes of parts at the same time. Finally, an example is presented to prove the effectiveness.