Truck Appointment Scheduling: A Review of Models and Algorithms

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:30Z
Fecha de publicación2025-01-01
ResumenThis paper provides a comprehensive review of truck appointment scheduling models and algorithms that support truck appointment systems (TASs) at container terminals. TASs have become essential tools for minimizing congestion, reducing wait times, and improving operational efficiency at the port and maritime industry. This review systematically categorizes and evaluates existing models and optimization algorithms, highlighting their strengths, limitations, and applicability in various operational contexts. We explore deterministic, stochastic, and hybrid models, as well as exact, heuristic, and metaheuristic algorithms. By synthesizing the latest advancements and identifying research gaps, this paper offers valuable insights for academics and practitioners aiming to enhance TAS efficiency and effectiveness. Future research directions and potential improvements in model formulation are also discussed.es_ES
Doihttps://doi.org/10.3390/math13030503es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2445
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónMathematicses_ES
URL relacionadohttps://doi.org/10.3390/math13030503es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteMathematics
TítuloTruck Appointment Scheduling: A Review of Models and Algorithmses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGracia, Maria D.
AutorMar-Ortiz, Julio
AutorVargas, Manuel
AutorGracia, Maria D.es_ES
AutorMar-Ortiz, Julioes_ES
AutorVargas, Manueles_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número3es_ES
Rango de páginas503es_ES
URL relacionadahttps://doi.org/10.3390/math13030503
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen13es_ES

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