考虑碳排放的双重目标前向和反向物流网络的模糊强大的优化模型
Yuepeng Shi1, Botang Li2, Maxim A Dulebenets3
1School of Energy and Intelligent Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou, China.
PloS one
|March 11, 2025
概括
本研究提出了一个强大的模糊编程模型,用于在不确定性中设计低碳物流网络. 该模型优化了设施位置和路线,以尽量减少成本和排放,确保可靠的决策.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 环境科学 环境科学
背景情况:
- 管理低碳综合供应链物流是复杂的,因为固有的不可预测性.
- 设计有效的低碳物流网络需要解决不确定性和政策考虑.
研究的目的:
- 在不确定性下设计一个有弹性的低碳物流网络.
- 确定最佳设施位置和运输路线.
- 通过战略规划,尽量降低成本和减少排放.
主要方法:
- 采用了强大的优化和模糊编程技术.
- 开发了一个多层次的前向/反向集成物流网络模型.
- 利用广泛的计算模拟进行验证.
主要成果:
- 提出的强大的模糊编程模型证明了它的有效性.
- 分析结果证实了优化模型的合理性和适用性.
- 从模型中得出的决定有50%的概率是最有利的结果.
结论:
- 强大的模糊编程方法为设计低碳物流网络提供了可行的解决方案.
- 该模型支持明智决策,以尽量降低成本和减少排放.
- 该方法适用于复杂,不确定和受政策影响的物流系统.
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