Optimization for Multi-Resources-Constrained Job Shop Scheduling Based on Three-level Heuristic Algorithm

For the model limitation of classic job-shop scheduling, combined with actual production conditions, multi-resources-constrained scheduling optimization model with machine and mold constraints is established. According to this model, three-level optimization heuristic algorithm of parts level, resources level and optimization level is designed, and using an example to verify its feasibility and effectiveness. The result shows that the algorithm has a good optimizing performance and higher operation speed, with the ability to solve large-scale scheduling problems.