Research On Intelligent Workshop Dynamic Prediction Scheduling For Minor Enterprises

Most of small and medium-sized enterprises in our country have been imperfect without the production management and control system from top to bottom.There are many problems inside the workshop,such as the mess of production management,the backward information management and the rigid organization and management.Therefore,it is necessary to build the intelligent workshop of small and medium-sized enterprises to ameliorate the mess management condition.Resources scheduling is key point of intelligent workshop.It is of practical significance to study the intelligent scheduling under the intelligent system.The contents and conclusions of this paper are as follows:(1)According to the 4 basic features,hierarchical functional characteristics of intelligent manufacturing technology and the development status of small and medium-sized enterprises,the intelligent workshop system is designed,which including basic production hierarchy,intelligent terminal hierarchy,network hierarchy,and system hierarchy.Then,the basic structure and main functions of each hierarchy are introduced.Finally,the reconstruction scheme of a mechanical company in Jiangsu is analysised,the results show that it does not only improve the economic benefit of the enterprise,but also make the innovation in the organization management mode.(2)Most of the scheduling models in the JSSP are fixed machine constraints.That is not conform to the actual situation,and the traditional GA has low efficiency and poor quality.Based on this,a single objective mathematical model which combines machine cost and advance / delay penalty cost,and improved GASA which based on reverse mutation,double cross and exponential attenuation function is designed to solve the static scheduling in the intelligent workshop.Through multiple simulation experiments,it is found that the optimal fitness value of the hybrid algorithm is reduced by 37% compared with the traditional GA,the overall fitness value is also lower,and the production cost of the workshop is reduced by 43%.It indicates that the hybrid algorithm has a certain efficiency and stability.In addition,compared with the fixed machine constraint,the results of each time parameter based on VMC are better and the minimum production cost is reduced by 58%,which indicates the progressiveness of the scheduling model on VMC.(3)Static scheduling can't deal with complex and changeable workshop production environment in time.Therefore,through dynamic rolling window technology,based on four disturbance events driven rescheduling strategy on new order or emergency order,machine stoppage and delay in the delivery,the improved GASA and scheduling rules are adopted to solve the dynamic scheduling problem based on personnel and machine allocation,and the simulation is obtained by simulation experiment.Four rescheduling schemes to meet the requirements is obtained.Compared with the scheduling results with or without constraints of R,it is found that the scheduling scheme with R constraints is more reasonable,and three algorithms of traditional GA,GASA+ and improved GASA are used to solve the rescheduling of machine stoppage at different time.The results are compared and analyzed,which show that the superiority of the improved GASA is also fully reflected in the dynamic environment.Compared with GASA+,the results of the improved GASA are all better,and the optimization rate of the target function is up to 12.1%,indicating that the improved GASA is more advanced and has better precision.