系统仿真学报 ›› 2024, Vol. 36 ›› Issue (6): 1344-1358.doi: 10.16182/j.issn1004731x.joss.23-0343
收稿日期:
2023-03-27
修回日期:
2023-05-16
出版日期:
2024-06-28
发布日期:
2024-06-19
通讯作者:
关婷誉
E-mail:wen_tx@163.com;2316244404@qq.com
第一作者简介:
温廷新(1974-),男,教授,博士,研究方向为矿业工程、智能优化算法及应用、计算机软件及计算机应用、供应链管理等。 E-mail:wen_tx@163.com
基金资助:
Received:
2023-03-27
Revised:
2023-05-16
Online:
2024-06-28
Published:
2024-06-19
Contact:
Guan Tingyu
E-mail:wen_tx@163.com;2316244404@qq.com
摘要:
为解决生产调度不及时、加工过程中能耗过大等问题,构建了有限缓冲区混合流水车间调度优化模型。模型以最小化最大完工时间和车间总能耗为目标,将运输时间、广义能耗和缓冲区容量等资源限制作为约束,并应用开关机节能策略减少待机能耗,验证了优化模型的可行性;设计一种狮群算法,采用随机产生与贪婪选择相结合的种群初始化方法,提高初始解质量和求解效率,验证了狮群算法的优越性。实验结果表明:该算法能有效解决考虑能耗和运输时间的有限缓冲区混合流水车间调度问题,优化模型能依照实际需要进行柔性调节,达到制造型企业合理排产、节能减排的目的。
中图分类号:
温廷新,关婷誉 . 考虑能耗和运输的有限缓冲区混合流水车间调度[J]. 系统仿真学报, 2024, 36(6): 1344-1358.
Wen Tingxin,Guan Tingyu . Hybrid Flow Shop Scheduling with Limited Buffers Considering Energy Consumption and Transportation[J]. Journal of System Simulation, 2024, 36(6): 1344-1358.
表1
算例数据运行对比
算例 | 算例规模 | 遗传算法 | 模拟退火 | 狮群算法 | ||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 7×3×4 | 2.84 | 4 710.20 | 791.5 | 2.93 | 4 706.50 | 788.0 | 2.45 | 4 708.81 | 784.0 |
2 | 6×3×3 | 1.95 | 4 006.33 | 697.8 | 1.96 | 4 010.20 | 696.7 | 1.57 | 4 002.01 | 685.6 |
3 | 7×4×4 | 2.27 | 18 330.27 | 912.1 | 2.31 | 18 392.67 | 899.6 | 1.94 | 18 251.52 | 890.6 |
4 | 9×3×6 | 3.63 | 17 416.79 | 884.6 | 3.82 | 17 522.50 | 900.2 | 2.75 | 17 077.19 | 867.6 |
5 | 5×5×3 | 1.30 | 17 402.25 | 1 025.4 | 1.37 | 17 500.66 | 1 026.3 | 1.24 | 17 429.45 | 1 021.5 |
6 | 8×3×4 | 2.03 | 5 197.11 | 799.2 | 2.25 | 5 182.22 | 780.1 | 1.85 | 5 044.09 | 776.5 |
7 | 10×4×5 | 4.06 | 25 401.10 | 1 105.6 | 3.98 | 25 321.88 | 1 094.5 | 2.58 | 25 323.08 | 1 044.3 |
8 | 10×3×6 | 3.85 | 17 669.73 | 952.2 | 4.02 | 17 620.48 | 961.4 | 2.97 | 17 394.31 | 932.7 |
9 | 16×8×11 | 4.67 | 51 360.90 | 2 449.0 | 4.86 | 46 449.11 | 2 268.0 | 4.48 | 47 223.23 | 2 217.4 |
10 | 35×16×19 | 13.21 | 329 011.78 | 6 100.9 | 15.02 | 338 142.02 | 6 271.4 | 13.73 | 320 370.93 | 6 023.5 |
11 | 22×10×15 | 8.08 | 104 560.62 | 3 613.8 | 7.89 | 101 952.44 | 3 557.7 | 7.25 | 101 468.39 | 3 514.9 |
表2
加工功率 (kW)
工件 | 工序1 | 工序2 | 工序3 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
设备1 | 设备2 | 设备3 | 设备4 | 设备5 | 设备6 | 设备7 | ||||||||
Pw | 1.1 | 1.6 | 1.4 | 2.0 | 2.1 | 2.5 | 2.0 | |||||||
1 | 2.7 | 1.7 | 4.5 | 3.0 | 2.7 | 1.8 | 3.8 | 2.6 | 4.1 | 3.0 | 4.5 | 3.3 | 4.5 | 3.0 |
2 | 3.2 | 1.8 | 3.9 | 3.5 | 3.5 | 2.0 | 3.7 | 2.3 | 4.1 | 3.3 | 4.4 | 3.5 | 4.2 | 2.8 |
3 | 3.2 | 1.7 | 4.3 | 3.1 | 2.9 | 2.0 | 4.0 | 2.6 | 5.1 | 3.2 | 4.7 | 3.4 | 4.8 | 3.1 |
4 | 2.8 | 1.9 | 4.6 | 3.2 | 3.5 | 1.9 | 3.8 | 2.5 | 4.1 | 3.2 | 4.8 | 3.2 | 4.1 | 3.0 |
5 | 2.8 | 1.6 | 4.5 | 3.0 | 3.5 | 1.9 | 3.9 | 2.4 | 4.3 | 3.2 | 5.6 | 3.2 | 4.0 | 3.1 |
6 | 2.9 | 1.8 | 4.8 | 3.4 | 3.2 | 2.0 | 3.7 | 2.4 | 4.7 | 3.0 | 4.9 | 3.2 | 4.7 | 2.9 |
7 | 3.0 | 1.6 | 4.7 | 3.6 | 3.4 | 1.7 | 3.9 | 2.5 | 4.3 | 3.0 | 5.0 | 3.4 | 4.8 | 3.0 |
8 | 3.1 | 1.7 | 4.7 | 3.2 | 2.9 | 1.9 | 4.5 | 2.4 | 4.5 | 3.3 | 5.3 | 3.3 | 4.7 | 3.1 |
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