Balance Design of Production Line in Engine Assembly Workshop

Abstract

This design takes the LR series automobile engine multi variety mixed flow assembly line of YT group as the research object. First of all, the background of the production workshop is investigated, the problems of the assembly line are analyzed, and the multi-objective balancing design of the mixed flow assembly line with the minimum workstation index and the minimum workstation load smoothing index is proposed. Secondly, according to the actual constraints of the workshop, the corresponding mathematical model is established, and according to the characteristics of the model, the multi-objective model is transformed into a single objective model by using the linear weighting method. Then, considering the complexity of the mixed flow assembly line balancing problem, genetic algorithm is used to solve it. However, in the face of NP complex problems, genetic algorithm is prone to fall into local optimal solution and slow convergence speed. Therefore, this design designs the algorithm based on the standard genetic algorithm, uses the real number coding, uses the heuristic algorithm and the random search method to generate the initial population, uses the basic idea of the combination of the optimal preservation strategy and the wheel selection to carry on the selection operation, in order to improve the algorithm performance. Finally, the simulation software Em - plant is used to call the genetic algorithm module to solve and simulate the engine assembly line balancing scheme. Through the comparison of optimization indexes, the optimal balancing scheme is obtained.