Truck Appointment Scheduling: A Review of Models and Algorithms

Maria D. Gracia, Julio Mar-Ortiz () and Manuel Vargas
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Maria D. Gracia: Faculty of Engineering Tampico, Universidad Autonoma de Tamaulipas, Tampico 89140, Mexico
Julio Mar-Ortiz: Faculty of Engineering Tampico, Universidad Autonoma de Tamaulipas, Tampico 89140, Mexico
Manuel Vargas: Industrial Engineering Department, Universidad de Santiago de Chile, Santiago 9170124, Chile

Mathematics, 2025, vol. 13, issue 3, 1-25

Abstract: This 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.

Keywords: truck appointment systems; port logistics; optimization models and algorithms; truck appointment scheduling; port capacity planning and scheduling (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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