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对大型定制金属结构部件的布局和切割计划的协作优化
Ronghua Meng1,2, Jiayi Wang1,2, Chongchong Xiang1,2
1Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, China Three Gorges University, Yichang, 44002, China.
Scientific reports
|October 21, 2025
概括
本研究介绍了一种两阶段模型,用于优化金属零件布局和切割时间表,平衡生产时间和材料使用. 改进的算法有效地提高了纸张的利用率,并减少了定制制造的延迟.
科学领域:
- 制造业 工程 制造工程
- 运营研究 运营研究
- 计算智能是一种计算智能.
背景情况:
- 优化布局和切割时间表对于制造效率至关重要.
- 在定制金属零件中,平衡板,延迟罚款和板材利用是个复杂的挑战.
研究的目的:
- 开发一个协作优化机制,用于布局和切割调度.
- 为了提高板材利用率,最大限度地减少造,并减少大规模定制金属结构部件的延迟罚款.
主要方法:
- 提出了一个两阶段的模型:第一阶段用于布局优化 (最大限度地利用表格),第二阶段用于切割调度 (最大限度地减少制作时间和延迟处罚).
- 第1阶段使用了改进的灰狼优化器 (IGWO) 算法.
- 第二阶段使用了修改的非主导排序遗传算法 (MNSGA-II) 与生产安排启发式.
主要成果:
- 在布局阶段,IGWO算法有效地最大化了页面利用率.
- 在切割调度阶段,MNSGA-II算法成功地最小化了makepan和延迟处罚.
- 实验结果验证了拟议的两阶段模型和增强算法的有效性.
结论:
- 拟议的两阶段模型为合作优化布局和切割调度提供了一种有效的方法.
- IGWO和MNSGA-II算法在解决定制金属零件制造的复杂性方面表现出卓越的性能.
- 这项研究为面对生产过程中迫切优化挑战的企业提供了有价值的科学解决方案.
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