基于模糊数学理论的多目标生产调度优化策略
1Zhengzhou Vocational College of Finance and Taxation, Zhengzhou, China.
PloS one
|July 10, 2025
概括
模糊数学通过引入新的内核分配策略来增强生产计划. 混合算法显著提高了客户满意度,并加速了调度中的进化平衡.
科学领域:
- 运营研究 运营研究
- 模糊的数学 模糊的数学
- 生产管理生产管理
背景情况:
- 多目标的生产时间表带来了诸如冲突目标和不确定性等挑战.
- 传统的优化算法在调度中的复杂性和模两可.
- 模糊数学为提高调度效率和优化提供了一个潜在的解决方案.
研究的目的:
- 引入和评估用于模糊数学调度的新型内核分配策略.
- 分析模糊数学调度解决方案和内核分配之间的关系.
- 为了将模糊调度与其他现有的调度方法进行比较.
主要方法:
- 拟议的比例增益,加权边际和平均成本节约的核分配方法.
- 分析模糊的数学调度解决方案及其与内核分配的连接.
- 模糊数学调度与其他调度范式的比较研究.
主要成果:
- 模糊的数学理论在22代中达到平衡,最高满意度为2.345.
- 拟议的混合算法仅在3代实现了平衡.
- 混合算法将最大客户满意度提高到2.445.5的水平.
结论:
- 新型内核分配策略对于模糊的数学调度是有效的.
- 混合算法显著提高了客户满意度,并加快了进化平衡.
- 模糊数学,特别是混合方法,为复杂的生产计划提供了优越的解决方案.
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