Research On The Simulation-based Productivity Analysis And Optimization Of Aerospace Product Assembly Workshop

With growing demand for multi-variety,variable-volume aerospace complex products,the under-capacity and low production efficiency dilemma caused by traditional production mode have become increasingly prominent.In this dissertation,a typical aerospace product assembly workshop is taken as the example.Based on the unique characteristics of its assembly process,the production line layout,simulationbased productivity analysis and optimization are studied.An efficient workshop simulation layout framework based on the virtual model library for the assembly line is constructed to achieve the rapid interactive simulation layout demand.To transform the layout scheme of operation area to the layout of threedimensional simulation model including workstations,a mathematical model is proposed.Based on the production object class,a virtual model class library is built to achieve the automatic and efficient visual layout function of the workshop.According to the frequent logical and physical reconstruction needs of simulation model in simulation and optimization stage,the production data types of aerospace product assembly line are studied in this paper.The data model representing data relationship are established by using function modeling technology and IDEF1 X semantic modeling method.Based on data-driven technology,the functions of datadriven modeling,simulation and reconfiguration for aerospace products are realized to improve the modeling efficiency,reusability and maintainability of the model.And then,an optimization method based on data-driven simulation is proposed to solve the problems of insufficient throughput and unbalanced resource utilization caused by the extremely unbalanced working time,improper resources allocation and reentrant rules.The simulation optimization technology of production line is studied,and the problem of insufficient ability of existing simulation optimization tools to deal with combinatorial optimization constraints is solved by combining genetic algorithm adaptive rejection and penalty constraint processing mechanism.Eventually,based on the demands of complex data management and function integration of simulation system,the modules studied above are encapsulated and integrated with Plant Simulation using graphical user interface design concept,and the data management prototype system is developed.At last,a case study shows its efficiency of modeling and simulation is greatly improved,and the production throughput is increased by 21% comparing to the original one.This research shows value for the simulation of aerospace products and other similar products.