Research And Application On Key Technologies Of Material Delivery Of Automobile Assemble Line

Manufacturing Executing System (MES) is between the planning layer and the workshop control layer of the enterprise. It aims to integrate the production process in terms of labors, materials, equipments and work-in-process so as to achieve effective production and to control the shop floor. Playing great role in actual application, the research of the MES has become more and more important in enterprise informationization. This paper studies the MES of automobile production systematically and focuses on the solution of material delivery on assembly line and proposes a solution for it. Besides, it optimizes the vehicle routing in the delivery process using the genetic algorithm and thus solves the material delivery problem in the MES system.Firstly, based on the analysis into the characteristics of the automobile production process and overview of the Manufacturing Execution System, this paper presents the MES system architecture for the car production process and discusses the system requirement, overall framework, key technology of MES and the meaning of material delivery.Secondly, based on the overview and analysis of the characteristics of automobile assembly line, this paper concludes the detailed requirements of the material delivery problem and presents the solution of the system, Establishes a classification of materials and a double template mechanism, and also Chooses the MIN/MAX Alarm approach, and eventually build up the operation process. Also, the routing of delivery vehicle is analyzed. After grouping the work positions and selecting the time window, this paper builds the mathematical model of the vehicle routing problem with time window (VRPTW) on assemble line.Then, this paper solves the VRPTW using the improved genetic algorithms, and compares the result achieved with the traditional genetic algorithm with the result without any optimization according to actual application. The comparative result shows: Genetic Algorithms in practice can reduce distribution costs by 40%.Finally, this paper realizes the MES for automobile production process, and offers the main interfaces of material delivery system.