Lean philosophy introduces a new approach for maximizing value while minimizing waste, facilitating sustainable practices at the same time. Companies have become aware of these improvements and are demanding students well formed in Lean concepts. However, to meet this demand, universities must adapt their curricula to include courses that use alternative teaching methods to connect to real contexts. This paper seeks to analyze the benefits of lecture- and game-based learning for developing students’ understanding of Lean Construction Principles. A case study is carried out in the “Lean Construction” course of the Master of Planning and Management in Civil Engineering of the Universitat Politècnica de València. A combination of a traditional lecture and three simple games is applied. Descriptive statistics, the Mann–Whitney U-test, and the Wilcoxon test are performed to analyze the impact of each activity on the understanding of each Lean Construction Principle. Results highlight the importance of combining the lecture class with multiple games to effectively impart knowledge about Lean principles and their application in the construction industry. In addition, they emphasize the importance of selecting the game according to the Lean principle to be taught.
Rural roads play an indispensable role in economic and social well-being, especially in developing countries, contributing to achieving the Sustainable Development Goals. For this reason, it is necessary to plan these projects properly to guarantee their success. In this line, the objective of this research is to identify significant variables generating overruns in time and cost using empirical data of 535 rural road projects in Colombia from 2015 to 2018. Bivariate analysis, with statistical tools like Spearman’s Rho and Kruskal–Wallis, allowed identifying that higher values of variables like budget and project intensity are related to higher deviations in cost and time. Additionally, it was found that projects with shorter durations are reporting higher time overruns. The worst performers are projects executed in the year that council mayors start their terms, those developed in municipalities with more resources, and those awarded using a competitive bidding process. Multivariate analysis, through Random Forest, assessed the effect of considering all variables interacting simultaneously and ranking them in order of importance. The results demonstrated a relationship between cost and time performance, and that numerical variables are more significant than the categorical ones. This study contributes to a better understanding of the causes of delays and cost overruns on rural roads, providing useful insight for researchers and industry practitioners.
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