Research On Scheduling Method Of Automobile Chassis Production Line In Dynamic Production Environment

Under the influence of economic globalization,industry 4.0 and sustainable development.Domestic manufacturing enterprises are facing great challenges of transformation and upgrading.In recent years,the emergence of new energy vehicles,Internet vehicles,driverless vehicles and many other new products in the automobile market,which significantly shortens the cycle of automobile upgrading and product upgrading.Therefore,the logistics scheduling of production line and production line needs to meet the flexible production and the chassis production line of automobile is more urgent because of its complex process and production equipment.Automatic guided vehicle(AGV)is widely used in various manufacturing fields for material transportation in warehouse and field production station.In order to improve the supply efficiency,it is necessary to improve the efficiency of AGV and solve the optimal path planning under various constraints.Path planning is a typical NP hard problem and solved by traditional algorithm with low efficiency,high calculation cost,easy to fall into local optimization and so on.Therefore,this paper focuses on real-time capture of all kinds of disturbance factors through intelligent algorithm and RFID deployment.It is can also solve the AGV distribution path problem and chassis production line integrated scheduling problem in dynamic production environment.(1)According to the material distribution characteristics of automobile chassis production line.Taking the total path length of AGV car,the total load and the material distribution of each station as constraints,the shortest path objective function is established,and the material AGV distribution model of automobile chassis production line is established,and the optimal path distribution problem is solved with intelligent algorithm.(2)In view of the fact that the traditional method can not meet the adjustment of the production proportion of vehicle models.The unpredictable disturbance factors in various production processes,such as unexpected equipment failure,material supply defects,production quality problems.This paper puts forward a scheme based on the deployment of RFID in the automobile chassis production line,and the data collected by RFID,such as speed of the line,qualified assembly of materials in each station,production downtime and other information provide real-time data for the algorithm.Through real-time acquisition of field disturbance factors,these disturbance factors are transformed into time window constraints of each station,as the input of the algorithm,to improve the ability of the algorithm for path planning.(3)With the rapid development of RFID technology,the real-time data collection of the production line becomes simple and reliable.Through the deployment of RFID hardware and software,the pallet of the automobile chassis production line can be identified.Through the control of the transportation of the pallet,different assembly lines and process allocation of different models can be identified,the flexible scheduling of the production line can be realized,and the production line can be improved Flexible production capacity.For the material scheduling problem of multi vehicle co-production,this paper proposes the genetic algorithm and RFID Based Logistics car scheduling path optimization scheme,and verifies the model by using genetic algorithm.Finally,the real-time capture system of production process disturbance is built in the chassis production line based on RFID technology to realize the intelligent monitoring of the chassis production line.Through simulation,it is verified that in the actual production process,the monitoring of production line disturbance factors based on RFID technology and provides algorithm with the decision data input can improve the efficiency of the logistics scheduling.