This article reviews studies on the application of reverse logistics in solid waste from the construction industry. The main objective is to provide a summary of current knowledge and specific areas for future research. In addition, construction, as an economic sector, is in a continuous search for new tools to improve its processes, so this research provides the current situation of the relationship between reverse logistics and solid waste in the industry. The review methodology was content analysis of scientific literature published between 1997 and 2020, and total of 66 articles were used. 73% correspond to research articles, around 13% are case studies, and 12% are literature reviews. Only one of the articles is a survey. In addition, 52% of the works reviewed correspond to solid waste studies and 49% are related to the construction industry; only one publication does not classify in any. The most used keywords for the identification of published works were reverse logistics and supply chain; both terms are frequently related to the process and general management of solid waste and construction. The least used term was the literature review that shows the low number of articles that provide a summary of the proposed topic. Finally, three materials were chosen for the study because they are the most used in construction: metals, bricks, and concrete. 15% of the articles study all three, 18% study only metals, and 63% study other materials or are related to construction and solid waste in general.

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.

This paper reports a study of the ship loading and discharging process at a container terminal. Our objective was to analyse the impact of different operational strategies on vessel handling times in order to derive managerial insights that can be used by terminal operators to manage this key performance indicator. As a basis for our study, a simulation model was implemented, validated, and verified to gain insight into the containers loading and discharging process. Four scenarios were constructed to resemble possible instances under which a vessel would operate at a Mexican container terminal, with the different operational strategies that were designed and evaluated for each scenario. An experimental framework was proposed, based on comparisons of scenarios and search experimentation, and employing a fractional factorial design to evaluate the impact of several factors on the vessel handling times. Our results emphasise that with an adequate design of the operation parameters, combined with the implementation of efficient stacking policies; it is possible to keep VHT under control. Conclusions and recommendations for further research are also discussed.