A layout optimization model was constructed to address the issues of multiple material handling intersections, high handling costs, and low area utilization caused by the unreasonable layout of KF Company’s general valve workshop. The model considers the direction of material flow in both directions and aims to minimize material handling costs, maximize non logistics relationships, and workshop area utilization. The system layout planning (SLP) method was used to optimize the workshop layout and obtain a preliminary layout plan. Based on the traditional nondominated sorting genetic algorithm II(NSGA-II), the initial layout plan obtained by the SLP method was encoded as part of the initial population to improve the diversity of the algorithm. The adaptive control strategy was introduced into the crossover and mutation operations, and the simulated annealing algorithm was added. Finally, the analytic hierarchy process(AHP) was used to optimize the workshop layout. Process, AHP make optimization decisions on a set of Pareto optimal solutions obtained by the algorithm. The results show that this method can reduce material handling costs by 38.83%, increase non logistics relationships by 44.83%, and optimize workshop area utilization by 19.50%, demonstrating the effectiveness of the model in workshop layout optimization.

workshop layout  /  multi objective optimization  /  NSGA-II(nondominated sorting genetic algorithm II)  /  SLP(system layout planning)