根据价格和车队管理决策,在客运铁路网络中的动态收入管理
Keyvan Kamandanipour1, Siamak Haji Yakhchali1, Reza Tavakkoli-Moghaddam1
1School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
概括
本研究介绍了一种用于旅客铁路收入管理的智能系统,该系统集成了动态定价和车队运营. 拟议的模型通过优化资源配置和定价策略,显著提高利能力.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 管理科学 管理科学
背景情况:
- 收入管理对于公共交通的利能力至关重要.
- 客运铁路服务在优化收入方面面临复杂的挑战.
研究的目的:
- 开发用于客运铁路收入管理的智能决策支持系统.
- 整合动态定价,车队管理和容量分配.
- 在多列车,多类,多票房铁路网络中最大限度地提高利.
主要方法:
- 使用历史数据量化旅行需求和价格-销售关系.
- 开发了一种混合整数非线性编程模型,以实现利最大化.
- 应用了修复和放松启发式算法来解决大规模的问题.
主要成果:
- 该模型每天优化对路线,列车组和服务类别的货车分配.
- 与目前的销售政策相比,显示出显著的利改善潜力.
- 启发式算法有效地解决复杂的优化问题.
结论:
- 拟议的综合系统为提高客运铁路利能力提供了一个强大的工具.
- 动态定价和优化资源配置是最大化收入的关键.
- 数学模型和启发式算法为现实世界的应用提供了可扩展的解决方案.
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