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Vehicle Mixed Flow Sequencing And Synchronized Logistics Optimization And Application System

Posted on:2020-11-30Degree:MasterType:Thesis
Country:ChinaCandidate:Z S LvFull Text:PDF
GTID:2382330572461751Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
As a typical mixed-flow production line,different types of vehicles are mixedflow production on the same production line.As the frequency of vehicle type switching increases,it brings changes in switching time,production time,material demand and so on,which increases the difficulty of enterprise production and operation management.How to use advanced production management concepts and technical means to eliminate bottlenecks and waste in the production process and to achieve smooth flexible production and synchronized logistics distribution has become the focus of domestic and foreign scholars and automotive professionals.Based on the production mode and production characteristics of automobile mixed flow production line,combined with the production planning and logistics operation management mode of automobile manufacturing enterprises,and with the support of enterprise core information system,this paper constructs a mixed flow production and synchronous logistics optimization system for automobile assembly line.Part of the composition,including leveling production optimization,simultaneous logistics distribution optimization and production and logistics information.Aiming at the influence of body sorting on the production line balance and logistics system of mixed-flow assembly line,a multi-objective mathematical model is proposed to balance the workload of production line and balance the material consumption.Aiming at the fact that the traditional genetic algorithm is easy to fall into the local optimal solution and the convergence speed is slow,an improved genetic algorithm is used to improve the global search by selecting the optimal preservation strategy and the combination of roulette and gambling.Ability,and simulation of the objective function through Matlab software.The results show that compared with the traditional genetic algorithm,the improved genetic algorithm has a faster convergence rate and a better solution,and finally achieves the flexible production target of the mixed flow assembly line of the automobile.Aiming at the quantitative and unscheduled delivery method of the distribution of the batching parts of the automobile assembly shop,it is proposed to carry out the quantitative timing pull according to the package quantity,and design the synchronous distribution method based on the electronic kanban batching parts through RFID and information technology,and calculate the parts delivery time window.On this basis,the path optimization model with the lowest distribution cost is proposed,and the vehicle distribution path model that meets the requirements of vehicle load and station hard time window is established.For the ant colony algorithm,premature aging and stagnation are easy to occur,and the change selection strategy is adopted to enhance the random selection probability to avoid the search to enter the local optimum.The results show that compared with the traditional ant colony algorithm,the improved ant colony algorithm can reduce the distribution path cost by 10.3%.The system framework of workshop-oriented manufacturing execution system(MES)is designed to realize the application of vehicle body sequencing and synchronized logistics distribution module in MES.Its main functions include weekly and daily scheduling,production planning monitoring,abnormal production monitoring,SPS,JIS and electronic Kanban distribution of ingredients,etc.to realize vehicle production and distribution.Logistics synchronous distribution information,lean,improve the information management of the whole enterprise.
Keywords/Search Tags:mixed-model assembly line, genetic algorithm, production sequencing, material distribution, MES system
PDF Full Text Request
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