Título: Multiobjective Optimization and Multicriteria Analysis of Rail Freight Transportation Logistics with Deterministic Queues
Autores: Willian Félix Souza e Silva, Luís Henrique dos Santos, Patrick Rodrigues Rocha, Michel Bessani & Lucas S. Batista
Resumo: The vehicle routing problem with queues is a critical challenge in freight railway logistics, where congestion and variable service times impact operational efficiency. This study presents a mathematical model to optimize the sequencing of railway flows, considering travel times, loading and unloading processes, and queue management. The problem is formulated as a multi-objective optimization model, aiming to maximize the transported volume while minimizing idle times and empty displacements. Due to the nonlinear nature of the problem, particularly the recursive behavior of queues, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) metaheuristic was used to efficiently solve the problem. Although the exact evaluation of objective functions using the mathematical formulation was computationally intensive, it demonstrated that queues can be successfully modeled as an endogenous component of the system. This allowed for a structured analysis of queue propagation across routing decisions without resorting to full-scale simulation. A Pareto front was estimated using the NSGA-II, and a representative solution was selected. The use of the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the decision-making stage provided a structured and effective selection process, consistent with the defined priorities.
Palavras-chave: freight train scheduling; deterministic queuing; metaheuristics; resource allocation; Pareto optimization.
Páginas: 8
Código DOI: 10.21528/CBIC2025-1172292
Artigo em PDF: CBIC_2025_paper1172292.pdf
Arquivo BibTeX:
CBIC_2025_1172292.bib