Optimization Method for Collaborative Scheduling of Manufacturing Resources in Mass Customization Mode for Flow Operations

For the collaborative scheduling of manufacturing resources in mass customization mode for flow operation, this paper proposes an efficient linearized model for collaborative scheduling optimization of manufacturing equipment in flow shop manufacturing process of mass customization, and a particle swarm optimization algorithm for discrete problems was adopted to solve scheduling problems in flow shop manufacturing process of mass customization. Experimental results show that, compared with the current effective heuristic algorithms for discrete combinatorial optimization, the algorithm adopted has a smaller average percentage deviation and standard deviation, and faster solving speed in solving the optimization problem.