Chlor-alkali industry production scheduling algorithm research based on adaptive weight PSO

First of all, in view of the process industry production scheduling system, the mathematical model of the process industry production scheduling was established. Secondly, the shortest maximum completion time was taken as the goal, process industrial production scheduling algorithms based on particle swarm optimization (PSO) was proposed. Finally, the specific production tasks of propylene oxide (PO) and polyvinyl chloride (PVC) of a chlor-alkali enterprises was taken as the research background, four production scheduling tasks of two products was realized. The simulation results demonstrate the effectiveness and superiority of the proposed algorithm, and it provided a certain reference value for improving the production efficiency and resources utilization, also for further improving the profit of enterprise.