"Cooperative Optimization of Layout and Cutting Scheduling for Large-Scale Customized Metal Structural Parts" Dataset

To balance the completeness and material utilization rate for largescale customized metal structural parts during manufacturing, a two-stage model is proposed to cooperatively optimize the layout and cutting scheduling of rectangular metal structural parts, considering the processing characteristics. A layout model to maximize the material utilization is established at the first stage. Focusing on the sequence of sheet metal processing and machine selection, a mathematical model is formulated to minimize the makespan and tardiness penalty cost at the second stage.  The layout problem in Stage 1 can be solved by the improved Grey Wolf Optimizer (GWO) algorithm. Based on the layout  heuristic strategy, the parts with smaller layout priority values are laid out first. The cutting scheduling problem in Stage 2 is solved by the enhanced NSGA-II. The production  scheduling heuristic strategy is proposed to generate the initial population by assigning lower weights to sheet metal for cutting priority. The tests of the optimized makespan and tardiness penalty cost in experiments show the effectiveness of the proposed two-stage model and the improved algorithms.