A multi-period vehicle routing problem with driver consistency and arrival-time diversification

We study a Multi-Period Vehicle Routing Problem that integrates driver consistency and arrival-time diversification. Driver consistency requires each customer to be served by the same vehicle across all service periods, while arrival-time diversification enforces temporal separation between visits in different periods. We first propose a Mixed-Integer Linear Programming formulation and an exact Logic-Based Benders Decomposition implemented through a Branch-and-Check scheme, where a multi-period VRP with driver consistency is handled in the master problem and arrival-time diversification is addressed in the subproblem. Building on this structure, we develop a matheuristic that exploits the subproblem in an efficient and targeted manner. As arrival-time diversification checks are computationally expensive, we propose a feasibility check procedure over a restricted search space. Computational results show that the branch-and-check approach solves medium-scale instances to optimality, while the matheuristic achieves near-optimal solutions in significantly shorter computation times. Lastly, the impact of arrival-time diversification is examined and managerial insights are derived.

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Publication Details

Journal
Computers & Operations Research
Published
2026-09-14
DOI
https://doi.org/10.1016/j.cor.2026.107672
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

A multi-period vehicle routing problem with driver consistency and arrival-time diversification

Foteini Stavropoulou, Sanne Wøhlk, Jahir Llagas
Computers & Operations Research
Vehicle Routing Optimization Methods
article

A multi-period vehicle routing problem with driver consistency and arrival-time diversification

Foteini Stavropoulou, Sanne Wøhlk, Jahir Llagas
article en

Abstract

We study a Multi-Period Vehicle Routing Problem that integrates driver consistency and arrival-time diversification. Driver consistency requires each customer to be served by the same vehicle across all service periods, while arrival-time diversification enforces temporal separation between visits in different periods. We first propose a Mixed-Integer Linear Programming formulation and an exact Logic-Based Benders Decomposition implemented through a Branch-and-Check scheme, where a multi-period VRP with driver consistency is handled in the master problem and arrival-time diversification is addressed in the subproblem. Building on this structure, we develop a matheuristic that exploits the subproblem in an efficient and targeted manner. As arrival-time diversification checks are computationally expensive, we propose a feasibility check procedure over a restricted search space. Computational results show that the branch-and-check approach solves medium-scale instances to optimality, while the matheuristic achieves near-optimal solutions in significantly shorter computation times. Lastly, the impact of arrival-time diversification is examined and managerial insights are derived.

Computers & Operations ResearchVol. 196
Danmarks Frie Forskningsfond
Openalex Percentile: Top 11%
Vehicle Routing Optimization Methods
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A multi-period vehicle routing problem with driver consistency and arrival-time diversification — Foteini Stavropoulou, Sanne Wøhlk, et al. · Computers & Operations Research (2026) | TGRS Research Map | TGRS