分布式集成调度算法用于相同的两个车间,基于改进的二分位图
Yingxin Wei1, Wei Zhou1, Jinghua Zhao1
1College of Mathematics and Computer, Jilin Normal University, Siping 136000, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
一个改进的算法优化了两个车间的分布式集成调度,减少了生产时间并提高了设备效率. 这增强了智能制造中的协作优化.
科学领域:
- 工业工程 工业工程 工业工程
- 运营研究 运营研究
- 制造系统制造系统的制造
背景情况:
- 在相同的两个车间系统中分布式集成调度在优化流程连续性,时间成本和设备利用方面面临挑战.
- 现有的方法可能无法完全捕捉过程拓和动态资源约束之间的相互作用.
研究的目的:
- 开发一个算法,以协作优化流程连续性,时间成本和设备利用在相同的两个车间分布式集成调度.
- 在复杂的制造环境中提高效率和减少产量.
主要方法:
- 提出了基于改进的双部分图 (DISA-IBG) 的相同的两个研讨会分布式集成调度算法.
- 引入了一种改进的双部分图循环分解策略,考虑到过程树拓和动态车间资源限制.
- 实施了多个子串重量调度策略,用于系统的子串优先级评估.
- 设计了一个子字符串预分配策略,以便在调度过程中进行动态调整.
主要成果:
- DISA-IBG算法将总产品的生产时间减少到37小时.
- 实现了整体设备利用率为67.8%.
- 证明了缩短处理时间和提高设备效率的同步优化.
结论:
- 拟议的算法为智能传感器支持制造提供了一个可行的调度框架.
- 在网络物理生产系统中为数据驱动的协作优化奠定基础.
- 在分布式制造调度中成功平衡处理时间和设备效率.
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