关键词: 多层车间, 设施布局, 资源配置, 非线性规划, 仿真优化

Abstract: To optimize facility layout and material handling resource allocation in multi-layer flexible job shops, a nonlinear stochastic programming model is proposed, aimed at minimizing logistics costs. The model includes dual constraints on system throughput and production cycle to optimize the layout of equipment and the speed configuration of material handling resources in multi-layer workshops. As the constraints of this problem cannot be represented in a closed-form expression using decision variables, a simulation-based heuristic hybrid optimization algorithm is introduced for the solution. Comparative experiments and various optimization method comparisons demonstrate the superiority of the proposed method. Additionally, the effectiveness and applicability of this method are validated through an enterprise case study.

Key words: multi-layer workshop, facility layout, resource allocation, nonlinear programming, simulation-based optimization