Multi-objective Dynamic Job-shop Scheduling Based on the Optimal Disposition of Man-machine Coordination

This paper proposes the scheduling model based on the resources optimization disposition,the resource costs and earliness/tardiness penalty,in which three-layer encoding methods is used to realize dynamic scheduling of flexible constraints based on the variable craft route and the man-machine coordination.The no-dominated sorting genetic algorithm is also used to optimize production path under the coexistence of multiple production lines,simultaneously,optimize the wage cost and earliness/tardiness penalty of work piece.Takes into account both resource allocation and resource costs,this model is cost-effective and can rapidly respond to market changes with adaptive and self-optimizing capabilities.