基于混合车队的两级车辆路线优化,用于冷链物流,采用多种充电策略
Yaling Li1, Wenzhu Liao1, Yuqi Huang1
1Department of Engineering Management, Chongqing University, Chongqing, China.
PloS one
|February 13, 2025
概括
本研究介绍了一种混合车队战略,在城市地区使用电动汽车 (EV),在郊区使用燃料卡车,用于冷链物流. 这种方法降低了成本和碳排放,解决了行业中的环境挑战.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 冷链物流在很大程度上依赖于燃料冷藏卡车,造成了严重的环境问题.
- 电动汽车 (EV) 提供了一个可持续的替代品,但面临着诸如续航里程焦虑等挑战.
- 传统的分销模式需要优化环境和经济效率.
研究的目的:
- 为冷链物流提出创新的混合车队战略,整合电动汽车和燃料汽车.
- 优化经济和环境因素在一个双层分布系统.
- 减轻空气污染,减少对非可再生能源的依赖.
主要方法:
- 开发了一个用于混合车队 (2EVRPMF) 两级车辆路由问题的模型.
- 提出了一个分配算法和一个增强的殖民地算法用于路线优化.
- 研究了各种充电策略,电池容量和充电速度.
主要成果:
- 与传统方法相比,混合车队模型在降低成本和碳排放方面表现优越.
- 数字实验验证了拟议战略的经济和环境效益.
- 分析揭示了电池容量和充电率对整体物流成本的影响.
结论:
- 混合机队方法为可持续的冷链物流提供了可行和高效的解决方案.
- 调查结果为在冷链行业实施环保实践提供了宝贵的见解.
- 优化充电策略对于最大限度地利用电动汽车在物流中的好处至关重要.
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