The Vehicle-Routing Problem with Satellites Utilization: A Systematic Review of the Literature

Raúl Soto-Concha (), John Willmer Escobar, Daniel Morillo-Torres and Rodrigo Linfati ()
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Raúl Soto-Concha: Facultad de Ingeniería, Universidad del Bío-Bío, Concepcion 4051381, Chile
John Willmer Escobar: Accounting and Finance Department, Universidad del Valle, Cali 760001, Colombia
Daniel Morillo-Torres: Department of Civil and Industrial Engineering, Faculty of Engineering and Sciences, Pontificia Universidad Javeriana Cali, Cali 760031, Colombia
Rodrigo Linfati: Departamento de Ingeniería Industrial, Universidad del Bío-Bío, Concepcion 4051381, Chile

Mathematics, 2025, vol. 13, issue 7, 1-29

Abstract: The Vehicle-Routing Problem (VRP) represents a critical challenge in logistics, encompassing numerous variations, such as time window considerations, multi-depot systems, two-echelon routing aspects, and Satellite Locations (SL). SLs are intermediate facilities that support cross-docking, storage, and transshipment operations. However, inconsistencies in defining “satellite” have hindered precise research and implementation. This study presents a systematic review of the use of satellites for VRP, employing the PRISMA methodology to ensure a comprehensive and reproducible analysis. The findings indicate that about 50% of the reviewed papers include a path-splitting variant. At the same time, there is a notable gap in addressing random demands and pickup and delivery within cross-docking environments. A major limitation is the lack of a well-known public dataset, as about 50% of the datasets are created or adapted for specific studies. Additionally, the analysis reveals significant gaps in dataset standardization and the integration of dynamic routing under uncertainty. These findings underscore the potential of satellite-based systems to optimize urban logistics and supply chains while pointing to critical avenues for future research.

Keywords: VRP; PRISMA; satellite; intermediate facilities; cross-docking; last mile logistics; multiple echelon (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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