Research On Dynamic Scheduling Of Stamping Resources For Vehicle Manufacturing In Cloud Manufacturing Environment

The integration of new-generation information technologies such as big data,Internet of Things,and artificial intelligence with advanced manufacturing is driving a new round of industrial revolution,bringing a new historical opportunity period for our country's manufacturing industry to comprehensively innovate and upgrade.As a new service-oriented networked and intelligent manufacturing model,cloud manufacturing has become an important means for our country's manufacturing enterprises to achieve comprehensive transformation and upgrading,comprehensive innovation and high-quality development.The vehicle manufacturing industry is an important driving force for the development of the national economy,and it is also one of the important application scenarios of the cloud manufacturing model.Resource optimization scheduling is the core technology of vehicle manufacturing to ensure high-quality,high-efficiency and stable production.As the beginning of vehicle manufacturing,stamping process has the most complicated production process,complex and changeable production environment,and flows through a wide variety of manufacturing resources.In view of this,with the support of the National Natural Science Foundation of China project "Research on the Theory and Method of Manufacturability Evaluation in Cloud Manufacturing Environment",this paper studies the dynamic scheduling of stamping resources for vehicle manufacturing in cloud manufacturing environment.The research contents of this paper are as follows:First of all,the research background and significance of this paper are expounded,and the research content and direction of the paper are determined by analyzing the relevant literature at home and abroad.Secondly,in order to meet the requirements of production disturbance prediction for the dynamic scheduling process of stamping resources in cloud manufacturing,this paper proposes a stamping production disturbance prediction method based on bidirectional gated cyclic unit.This method proposes the definition and standard of stamping production disturbance abnormality in vehicle manufacturing under cloud manufacturing environment.By analyzing the influencing factors of stamping production abnormality in six aspects,including personnel,equipment,materials,process,environment and cloud platform,a prediction model of stamping production disturbance based on bidirectional gated cyclic unit is constructed.The stamping production disturbance prediction model takes cloud manufacturing stamping production abnormal influencing factors as input,and stamping production abnormal prediction value as output,and completes the production abnormality prediction in the stamping resource scheduling process according to the stamping production disturbance abnormality evaluation standard.The simulation example proves that the prediction method has high accuracy,the cloud manufacturing platform can make timely adjustments to the stamping resource scheduling scheme according to the disturbance occurrence.Thirdly,on the basis of the above research,the research on the problem of stamping resource scheduling in cloud manufacturing environment is carried out.According to the characteristics of disturbance events in the stamping production process and the actual manufacturing situation,a hybrid drive dynamic scheduling strategy combining periodic driving and event driving is proposed.In the periodic driving strategy,rolling window technology is introduced to increase the stability of cloud manufacturing system operation.In the event driving strategy,in order to reduce unnecessary losses caused by frequent rescheduling,a driving mechanism combining scheduling schedule variation rate and resource utilization is introduced to accurately determine whether rescheduling should be performed.This paper establishes a multi-objective optimization model that takes into account the minimum total stamping manufacturing task time,the lowest total stamping manufacturing service cost,and the highest average stamping manufacturing service quality.The weight of each stamping objective is determined by using the analytic hierarchy process,and the cloud adaptive genetic algorithm is used to solve.The feasibility of the proposed method is proved by simulation experiments,which can ensure stable and efficient stamping production in the environment of frequent disturbances.Finally,a cloud manufacturing stamping service system is constructed,and the stamping production disturbance prediction method and stamping resource scheduling method in the paper are embedded in it,so that customers can obtain corresponding service plans according to their needs.