优化异质的车辆物流安排,以多目标和多中心为目标
Zhaolei He1, Miaohan Zhang2, Qiyong Chen2
1Metrology Center, Yunnan Power Grid Co., Ltd, Kunming, 650041, People's Republic of China.
Scientific reports
|August 29, 2023
概括
本研究介绍了一种改进的生命周期群集优化 (ILSO) 算法,用于解决工业产品分销的车辆路由问题 (VRP). ILSO算法有效地降低了运输成本,提高了交付效率.
科学领域:
- 运营研究 运营研究
- 物流管理物流管理
- 工业工程 工业工程 工业工程
背景情况:
- 工业企业在优化产品交付方面面临着重大挑战,涉及及及时性和成本.
- 车辆路由问题 (VRP) 在多个分销中心的多种车型中是一个复杂的后勤挑战.
研究的目的:
- 考虑多维约束,为车辆路由问题 (VRP) 开发一个优化的解决方案.
- 尽量减少分销时间和成本,同时最大限度地提高工业物流中的车辆装载率.
主要方法:
- 制定一个包含车辆负载和时间窗口限制的多目标优化模型.
- 由生命周期理论启发的改进生命周期群集优化 (ILSO) 算法的开发.
- 使用来自云南电网公司的真实世界订单数据进行调度实验.
主要成果:
- 与其他五种算法相比,ILSO算法显示运输成本减少了0.8%至1.6%.
- 模拟和应用结果验证了ILSO算法在实际场景中的有效性.
结论:
- ILSO算法为优化工业产品分销提供了一种卓越的方法.
- 提出的方法有效地降低了成本,并提高了企业的运营效率.
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