分析和优化用于航空-铁路混合运输的随机 Petri 网
1School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, People's Republic of China.
PloS one
|July 22, 2024
概括
这项研究优化了中国的航空-铁路多式联运 (ARIT) 货运系统. 通过应用随机彼得里网和马尔科夫链,优化的模型可以减少7.7%的总延迟.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 运营研究 运营研究
- 运输工程 运输工程
背景情况:
- 航空铁路综合运输 (ARIT) 对中国的货运系统至关重要.
- 现有的ARIT运营面临着效率低下和复杂性的挑战.
- 要提高ARIT性能,需要进行优化.
研究的目的:
- 为了建模和优化中国的ARIT货运运输系统.
- 为了解决ARIT运营中的低效率和复杂性.
- 开发一种数据驱动的方法来改进ARIT.
主要方法:
- 运用了业务流程再工程和随机 Petri 网 (PN) 理论.
- 基于实际运营,开发了一个ARIT输入货运PN模型.
- 应用异形马尔科夫链理论用于PN模型的性能分析.
- 综合优化原则,包括改善铁路集装箱包装.
主要成果:
- 随机 Petri Net 模型的性能分析确定了关键的优化领域.
- 开发了一个优化的ARIT PN模型.
- 与原始模型相比,优化的ARIT模型显示总延迟减少了7.7%.
结论:
- 马尔科夫链性能分析和优化原则的结合方法对ARIT有效.
- 该研究提供了一种可行和有效的方法来优化ARIT系统.
- 在铁路集装箱包装等领域的改进显著提高了ARIT的效率.
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