使用双阶段的D-Optimal模式来选择灵活制造系统的设备
Xiaomo Yu1, Jie Mi1, Jiajia Liu1
1Department of Logistics Management and Engineering, Nanning Normal University, Nanning, 530001, Guangxi, China.
Scientific reports
|February 26, 2026
概括
这项研究优化了灵活制造系统 (FMS) 中的设备选择,以节省成本和提高效率. 研究发现,92.8%的自动化利用率是最佳的,这表明完全的自动化不是最佳的.
科学领域:
- 工业工程 工业工程 工业工程
- 运营研究 运营研究
背景情况:
- 灵活的制造系统 (FMS) 对于现代生产至关重要.
- 在FMS中优化设备选择是复杂的,需要平衡成本,效率和程序.
- 假设更高的自动化总是导致更高的效率经常受到挑战.
研究的目的:
- 优化灵活制造系统 (FMS) 中的设备选择.
- 为了提高成本节约,程序改进和生产效率.
- 开发一个平衡和可测量的FMS优化方法,适用于各个行业.
主要方法:
- 使用了电子行业的一个案例研究.
- 采用了两阶段的D-Optimal设计,并与离散事件模拟相结合.
- 使用关键生产指数 (生产率,浪费,循环时间) 计算了加权响应表面值"y".
主要成果:
- 第一个阶段的响应表面值达到14733.09.
- 第二阶段的精炼导致响应表面值为151317.88.8.
- 确定了最佳的设备组合,实现了92.8%的自动化利用率,表明完全自动化并不总是优越的.
结论:
- 完全自动化并不一定会提高FMS的生产效率.
- 提出的方法为FMS优化提供了一个平衡的方法.
- 这种方法可以在各种工业环境中提高资源效率和灵活性.
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