The challenges of optimizing logistics operations in all links of the supply chain have led to the development of new dynamics around the revolution 4.0 and the response of operational efficiency linked to environmental sustainability. Smart ports are born as a strategy to meet customer needs from a technological evolution that generates quality logistical and operational responses. The objective of this review is to identify and to analyze the research perspectives related to smart ports. The implemented methodology considered a scientific mapping to determine the most relevant publications in terms of authors, journals, and countries with the greatest scientific participation in the subject and a network analysis based on the implementation of the tree metaphor of the graph theory. The R-studio software and the Bibliometrix plugin were used to process the information. The review considered 204 documents from the Scopus and Web of Science databases, identifying a growing trend in the number of enhanced publications as of 2019, with China being the country with the largest number of papers. In relation to research trends, the adaptation of ports to industry 4.0, maritime ports and technological security, and green and smart ports are the perspectives on the subject of study. Finally, an agenda for future research is presented.

The operations of international trade drive global economies, with maritime transport serving as a key pillar in market connectivity and acceleration. The opportunities presented by Industry 4.0 to connect supply chain actors through integrated logistics pose a challenge that fuels the number of studies in this area, with a particular interest in the transportation stage due to its responsibilities for efficiency. This study conducts a systematic literature review by analyzing scientometric aspects and identifying research trends related to maritime transportation logistics. The PRISMA methodology, graph theory, and bibliometric indicators such as indegree, betweenness, and outdegree were employed to process the information related to maritime transportation logistics from the Scopus and Web of Science databases spanning from 2000 to 2022. The gathered information and results were processed and analyzed using R-studio and Bibliometrix tools. The documents were classified as original, structural, and research trends, with the latter focused on topics related to the environment, port competitiveness, logistics optimization, and economics. Finally, an agenda for future research in the field is presented.

A methodology is proposed that solves the vehicle routing problem with a private fleet and a common carrier using an iterated local search algorithm, based on two concepts: intensification and diversification. The first concept is implemented by using random variable neighbourhood search, while the second concept applies perturbation schemes. To validate the proposed methodology, systems with up to 50 customers and two to eight vehicles are tested. The results are compared with those presented in the specialized literature, including the quality of response and computation time, reaching in all cases the best solution reported with low computing times. In the second stage and given the previous verification, cases of medium and high mathematical complexity are analysed. These cases consider instances with 50 to 513 customers and 8 to 29 vehicles, and high-quality solutions are reached within reasonable computation times.

Este artículo presenta una revisión de diferentes modelos de programación matemática y técnicas de solución, aplicadas en la solución de problemas de diseño de redes de logística inversa, en donde se describen las principales contribuciones y se comparan varios tratamientos, modelos y algoritmos de solución. Adicionalmente, se ha desarrollado una aplicación al caso específico de la gestión de llantas fuera de uso en las ciudades de Pereira y Dosquebradas (Colombia), evaluando las alternativas que existen en la recuperación y valorización de este tipo de residuo, con el fin de incurrir en el menor costo posible y/o generar beneficios para la Región.