Study On Scheduling Method And Simulation System Of Hot Rolling Hybrid Flow Workshop

As an important pillar industry of the national economy,the steel industry must adjust,transform,optimize and upgrade for intelligent manufacturing.How to scientifically arrange the processing tasks and the allocation of workshop resources to realize the scheduling optimization directly affects the production efficiency and production cost and has great research value.There is few existing research on hybrid flow shop scheduling of hot rolling,and few research on scheduling considering equipment maintenance.Equipment maintenance is a common phenomenon in hot rolling workshop.Scheduling without equipment maintenance will result in scrapped workpieces,economic losses,safety hazards and more time and logistics cost.In addition,the current research and development of the system that can realize the scheduling decision of the hot rolling shop and the digital simulation of the scheduling plan is quite inadequate.Aiming at the above main problems,the study on the scheduling method and simulation system of the hot rolling hybrid flow workshop considering the equipment maintenance is carried out.The main contents are as follows:(1)The process flow of the hot rolling hybrid flow shop is analyzed,and a single-objective model of the hot rolling hybrid flow shop scheduling is established.The coding method and a hot rolling hybrid flow shop scheduling case is designed.Then the optimization of maximum completion time is first realized to save production time and improve equipment utilization.And the optimization of equipment worktime balance is realized to reduce equipment loss.(2)A single-objective hot rolling hybrid flow shop scheduling model considering equipment maintenance time is established,and the problem of slabs processing sequence and equipment allocation is solved for the hot rolling case.By comparing the results of the single objective model with and without equipment maintenance,it is proved that the model with equipment maintenance can obtain a more realistic optimal scheduling plan,indicating that it is necessary to consider equipment maintenance.(3)The necessity of multi-objective for the hot rolling hybrid flow shop is proposed.And a multi-objective model with equipment maintenance time is established to optimize maximum completion time and equipment worktime balance simultaneously.Then an IMOMVO algorithm is designed to solve the model.The opposite learning strategy is used to generate the first generation population.And a nonlinear variable control parameter and an improved elite leading strategy are invented.The solution to the scheduling case proves that the model considering equipment maintenance and multi-objective can obtain a more realistic comprehensive optimal scheduling scheme.The scheduling case and benchmark functions verify the improved algorithm’s good optimization ability.(4)A production simulation system for hot rolling hybrid flow shop scheduling is developed.Solidworks,3ds Max,SQL server database,and Unity 3d are selected to build the simulation system.The functional modules of the simulation system are designed,the three-dimensional models of the equipment of the hot rolling are established.The system database design and virtual workshop scene design and script design are completed.The application test on the multi-objective hot rolling scheduling case is carried out,and the scheduling decision,scene roaming,production process simulation,and production data display of the simulation system are realized.