Matheuristic Algorithms for the Inventory Routing Problem With Unsplit and Split Deliveries

ABSTRACT We introduce new matheuristic algorithms for the Inventory Routing Problem with unsplit and split deliveries for both Order‐Up‐to Level and Maximum Level replenishment policies. The first matheuristic is based on the Capacitated Concentrator Location problem. The second is a route‐based approach using routes found in other schemes as input, including the ones found in the first matheuristic. We carry out extensive experiments on benchmark instances to understand their effectiveness. The results show that they are effective and require a relatively short computational time.

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Publication Details

Journal
Networks
Published
2025-03-27
DOI
https://doi.org/10.1002/net.22276
Citations
2
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
2.48
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article

Matheuristic Algorithms for the Inventory Routing Problem With Unsplit and Split Deliveries

Luca Bertazzi, Claudia Archetti, Nho Minh Dinh
2 citations
Networks
Vehicle Routing Optimization Methods
2.48
article

Matheuristic Algorithms for the Inventory Routing Problem With Unsplit and Split Deliveries

Luca Bertazzi, Claudia Archetti, Nho Minh Dinh
article en
2 citations

Abstract

ABSTRACT We introduce new matheuristic algorithms for the Inventory Routing Problem with unsplit and split deliveries for both Order‐Up‐to Level and Maximum Level replenishment policies. The first matheuristic is based on the Capacitated Concentrator Location problem. The second is a route‐based approach using routes found in other schemes as input, including the ones found in the first matheuristic. We carry out extensive experiments on benchmark instances to understand their effectiveness. The results show that they are effective and require a relatively short computational time.

NetworksVol. 86(1)
University of Brescia (IT)
Openalex Percentile: Top 11%
Vehicle Routing Optimization Methods
2.48
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