A Branch-Price-and-Cut Algorithm for the Multicommodity Two-Echelon Vehicle Routing Problem with Time Windows

计算机科学 车辆路径问题 软件 集合(抽象数据类型) 整数(计算机科学) 水准点(测量) 数学优化 布线(电子设计自动化) 整数规划 算法 窗口(计算) 对偶(语法数字) 指数函数 分支和切割 线性规划 运行时间 安装 近似算法 时间复杂性 线性不等式 车队管理 加速
作者
Tayeb Mhamedi,Marilène Cherkesly,Guy Desaulniers
出处
期刊:Informs Journal on Computing
标识
DOI:10.1287/ijoc.2024.1010
摘要

In the multicommodity two-echelon vehicle routing problem with time windows (MC-2E-VRPTW), first-echelon vehicles transport goods from depots to satellites, whereas second-echelon vehicles ensure that goods are shipped from satellites to customers within their time windows. Given a set of customers, each with demand available at one depot, the MC-2E-VRPTW aims at determining least-cost and capacity-feasible first- and second-echelon routes such that each customer is serviced during its time window by a second-echelon route and has a single first-echelon route supplying its whole demand. For this problem, we propose a route-based formulation that contains an exponential number of variables associated with second-echelon routes and develop a tailored branch-price-and-cut algorithm. This algorithm considers one subproblem per satellite, which is solved by a labeling algorithm to generate second-echelon routes and determine the first-echelon route supplying the load of each visited customer. We devise a recovery procedure to enforce integer solution feasibility in the presence of dual inequalities and propose a branching rule adapted to the multicommodity context. Through extensive computational experiments on benchmark instances, we show that our algorithm outperforms a state-of-the-art algorithm. History: Accepted by Andrea Lodi, Area Editor for Design and Analysis of Algorithms–Discrete. Funding: This work was supported by Natural Sciences and Engineering Research Council of Canada [Discovery Grants 2017-06106 and 2023-03791]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2024.1010 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2024.1010 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .
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