使用DOMINO框架对混合整数非线性综合规划和调度问题的双层优化
Hasan Nikkhah1,2, Vassilis M Charitopoulos3, Styliani Avraamidou4
1Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, CT, 06260, USA.
概括
本研究介绍了一种数据驱动的优化策略,以解决复杂的供应链规划和调度问题. 多米诺框架有效地处理综合双层编程,产生可行的生产时间表.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 数据驱动优化数据驱动优化
背景情况:
- 在多层次供应链中,综合规划和调度是复杂的,因为相互依赖和市场波动.
- 序列式的方法往往导致无法实现的生产时间表.
研究的目的:
- 开发一个数据驱动的优化方法,以解决综合规划和调度问题,并以双层编程形式制定.
- 应对多层次供应链决策中的挑战.
主要方法:
- 制定企业范围的决策作为线性生产规划和混合整数非线性调度的双层优化问题.
- 应用DOMINO框架,一个数据驱动的优化策略,用于双层问题.
主要成果:
- 在各种案例研究中证明了有效性,包括原油调度和连续制造工艺.
- 在双层编程中,DOMINO成功地处理了高维,混合整数非线性下层.
结论:
- 多米诺框架为企业范围的整合优化问题提供了强大的解决方案.
- 这种方法可以确保在复杂的供应链网络中实现可行的生产时间表.
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