Improved PSO to dynamic scheduling problem of bottleneck in emergency

Emergency projects' optimal resource scheduling is in a complex and dynamic environment.It makes the problem-solving more difficult.Theory of constraints confirms that bottleneck determine the whole system's performance.Dynamic scheduling of the bottleneck can simplify the complex system problems.Thus,this paper studied the dynamic scheduling problem of bottleneck in emergency to improve the resource' utilization,and cut down the expense etc.Firstly,it analyzed the problem's characteristics from the aspects of the optimal goal,machine environment,processing characters and constraints,and built the mathematical model.Then,it used hybrid rescheduling strategy and improved particle swarm optimization to build an algorithm and realized the dynamic scheduling of the bottleneck resources.Finally,the case study demonstrates the algorithm's feasibility,effectiveness,the value of theory and the practical application.