一种混合差异进化算法,用于分布式组装灵活的工作车间调度与批发交付和库存.
ShengWen Zhou1,2, Shuai Han3, Ming Yang4
1School of Mechanical and Electrical Engineering, Hubei Polytechnic University, Huangshi, 435003, Hubei, People's Republic of China.
Scientific reports
|January 6, 2026
概括
本研究介绍了针对区域建筑材料需求的批发交付策略,优化了车间安排和库存成本. 一个新的混合算法有效地解决了这个复杂的生产调度问题.
科学领域:
- 运营研究 运营研究
- 工业工程 工业工程 工业工程
- 供应链管理 供应链管理
背景情况:
- 客户对建筑材料需求的区域差异对设备组生产构成挑战.
- 有效的日程安排和库存管理对于分布式组装灵活车间至关重要.
- 平衡批量交付和库存成本是一个复杂的优化问题.
研究的目的:
- 开发一个数学模型来安排分布式组装灵活的车间,考虑到批发和库存成本.
- 提出一种高效的算法来解决复杂的生产调度问题.
- 设计一个最大批量策略,根据批量交付的特点量身定制.
主要方法:
- 建立一个数学模型用于车间安排,批量交付和库存成本.
- 开发一个混合差异进化算法,与可变邻域搜索 (VNS) 集成.
- 基于完成时间差异的最大批量策略的设计.
主要成果:
- 拟议的混合差异演化-VNS算法在解决调度问题方面表现出卓越的性能.
- 最大批量策略有效地解决了批量交付的特点.
- 比较实验验证算法的有效性和效率.
结论:
- 混合算法为设备制造中的复杂生产调度问题提供了强大的解决方案.
- 批量交付策略和相关的优化模型改善了库存成本管理.
- 这项研究为优化具有区域需求模式的分布式制造系统提供了宝贵的见解.
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