Abstract: Good layout of workshop facilities can effectively improve the manufacturing process, reduce the cost of logistics and transportation between processing equipment, and then enhance the degree of lean manufacturing enterprises. Based on the actual situation of manufacturing workshop of FK company, this paper designed the layout constraint conditions, constructed the mathematical model of workshop layout to minimize the logistics cost and logistics time, and proposed an improved genetic simulated annealing algorithm to solve the model. On the one hand, the adaptive genetic operator strategy is introduced to realize the dynamic modification of genetic operator in the process of solving the algorithm. On the other hand, the probability jump of simulated annealing algorithm can avoid premature convergence, improve its global optimization ability and further enhance the performance of the algorithm. The feasibility and effectiveness of the model and algorithm are verified and analyzed by design comparison test and practical application case. The results show that the algorithm has good optimization ability, can effectively reduce the cost and time of workshop logistics, and has a good role in improving the actual workshop layout.