车辆路径问题
背景(考古学)
计算机科学
集合(抽象数据类型)
布线(电子设计自动化)
变量(数学)
同步(交流)
芯(光纤)
运筹学
订单(交换)
运输工程
数学优化
业务
数学
工程类
计算机网络
频道(广播)
电信
古生物学
数学分析
财务
生物
程序设计语言
作者
Marc‐Antoine Coindreau,Olivier Gallay,Nicolas Zufferey
标识
DOI:10.1016/j.ejor.2019.06.039
摘要
In the classical Vehicle Routing Problem (VRP), it is assumed that each worker moves using an individually assigned vehicle. Removing this core hypothesis opens the door for a brand new set of solutions, where workers are seen as transportable resources that can also move without the help of a vehicle. In this context, motivated by a major European energy provider, we consider a situation where workers can either walk or drive to reach a job and where carpooling is enabled. In order to quantify the potential benefits offered by this new framework, a dedicated Variable Neighborhood Search is proposed to efficiently tackle the underlying synchronization and precedence constraints that arise in this extension of the VRP. Considering a set of instances in an urban context, extensive computational experiments show that, despite conservative scenarios favoring car mobility, significant savings are achieved when compared to the solutions currently obtained by the involved company. This innovative formulation allows managers to reduce the size of the vehicle fleet while keeping the number of workers stable and, surprisingly, decreasing the overall driving distance simultaneously.
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