The Research On Architecture And Optimization Technology Of Parallel Shaft Gearbox Assembly Line

With the development of economic globalization,especially under current background of the global ‘industrial 4.0',the fourth industrial revolution which is dominated by intelligent manufacturing is brewing.However,new technology is brewing new challenges and opportunities,so China's manufacturing industry faces huge pressure of competition in order to adapt to more dynamic and changeable market demand.Based on parallel shaft gearbox assembly line project,our project,which is aimed at the low degree of automation in the parallel shaft gear box assembly line and the low degree of modernization in the assembly methods,carry on the parallel axis gear box assembly line system structure and the optimization technology,mainly including workshop layout optimization and shop scheduling optimization.In this paper,the main research work includes the following aspects:1.The workshop layout optimization is studied because the scientific and rational layout of the workshop is of great significance in improving production efficiency,reducing production costs and is also the basis and premise in the efficient scheduling optimization.Focused on the problem about parallel shaft gear box assembly workshop layout,the basic form and the comprehensive evaluation of workshop layout is expounded and summarized.The architecture of parallel shaft gear box assembly lines were analyzed and summarized,including the workshop production units,production units functional analysis,assembly and assembly process analysis tools to analyze.Using the SLP method into the workshop layout design,this paper analyzed the basic layout forms of parallel shaft gear box assembly shop,the relationships between logistics relations,the non logistics relations,comprehensive relations and unit location according to the basic elements of SLP methods;finally the relative position of workshop layout diagram is obtained.2.This dissertation studied the application of classical genetic algorithm on the job shop scheduling problem under the single target and the coding,fitness function,genetic operators and other factors about classical genetic algorithm in the shop scheduling is expounded.Finally this paper analyzed the parallel shaft gear box assembly shop,established a simplified production scheduling model and did the simulation experiment in MATLAB to verify the effectiveness of the algorithm.3.An improved two-phase multiple population genetic algorithm is proposed which gives consideration on both the robustness and stability index under the random failure of flexible job shop scheduling problem.This algorithm used double encoding based on process and machine and insert idle time according to the machine failure probability.The roulette method selecting operator based on nonlinear sorting and improved RPOX crossover operator and swap mutation operator is designed.Then in the second stage of this algorithm,the algorithm achieved the evolution of the child and the comprehensive goal using the adaptive genetic algorithm,as a consequently improved the searching efficiency of the algorithm and guaranteed the convergence of the algorithm.Finally the simulation results showed the effectiveness and the advanced nature of the algorithm.4.A hybrid genetic tabu search algorithm is proposed which combined with tabu search algorithm on the basis of the improved two-phase multiple population genetic algorithm.With the two methods complementing each other,the algorithm used the ideas of tabu search to transform a crossover and mutation operator of genetic algorithm and improve the climbing ability and local search ability of the algorithm,further avoiding algorithm trapped into local optimal solution.