一个二次约束的混合整数非线性编程模型,用于多个下沉分布
Bernard Atta Adjei1, Charles Sebil2, Dominic Otoo1
1Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Box 214, Bono Ahafo, Ghana.
Heliyon
|October 18, 2024
概括
优化番茄的配送路线大大降低了运输成本和燃料消耗. 这种先进的路由策略在供应链中平均降低了27.59%的成本.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 运输 运输 物流 后勤
背景情况:
- 增加的交通拥堵和燃料价格对供应链为多家零售商提供服务构成重大障碍.
- 有效的分销网络对于最大限度地降低运营成本和确保及时交付至关重要.
研究的目的:
- 在长途和城市间的分销网络中优化加工番茄的运输路线.
- 开发一种模型,尽量减少运输成本,包括燃料,运营和维护费用.
主要方法:
- 使用异质容量车辆路由问题 (CVRP) 框架.
- 开发了一个新的二次制约混合整数非线性编程 (MINLP) 模型.
- 集成的实时数据,交通状况和路线转移策略,用于加快交货.
主要成果:
- 平均运输成本估计减少了27.59%.
- 在一个真实的案例研究中,成本从GH¢20,270 ($1,638.91) 降低到GH¢14,676 ($1,186.61).
- 证明了该模型在降低成本的有效性,同时确保高效的交货.
结论:
- 拟议的路由优化战略有效降低了复杂供应链中的运输成本.
- MINLP模型提供了一种可行的解决方案,以最大限度地降低开支并保持交付效率.
- 这种方法在加工食品的分销中为节省成本提供了巨大的潜力.
关键词:
90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B06 90B0690B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 90B20 是一个字体的字体的字体,它可以通过90C06 其他 其他 其他90C11 一个人的生活.90C3030 没有任何问题.城市间的分销.四位数受约束的混合整数非线性编程车辆路线问题 车辆路线问题相关概念视频
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