This study presents a systematic literature review (SLR) of the Advanced Work Packaging (AWP) methodology, focusing on identifying barriers to its adoption. The review encompasses an analysis of 287 documents from 2013 to 2023, including conference articles, doctoral theses, journal articles, master theses, reports, and organizational documents. Following a rigorous selection process, 59 of these documents were identified as pertinent to the investigation. This research employs a dual approach. First, a scientometric analysis to map the collaborative networks of authors and the co-occurrence of keywords, providing a comprehensive picture of the research landscape in AWP. Second, the study delves into the main barriers hindering the adoption of AWP, as revealed through the SLR of the selected documents. The findings offer an overlay network visualization of coauthorship and a network visualization of keyword co-occurrence. The study culminates in a detailed identification of primary AWP barriers, suggestions for future research directions, and potential lines of inquiry within the field. This work contributes to the existing body of knowledge by offering a novel perspective on the challenges associated with AWP implementation and provides a foundation for future scholarly endeavors in this domain.

The construction industry faces persistent challenges in cost control, schedule reliability, and data consistency, particularly during the structural phase of high-rise buildings. Although Building Information Modeling (BIM) offers the potential to integrate quantities, costs, and schedules, its operational application remains …

Pursuing more efficient and collaborative methods in the construction industry has increased interest in collaborative contracts and Lean Construction. Despite their potential benefits, there is a lack of clarity in understanding and applying collaborative contracts in Chile. This study aims to assess the level of knowledge and perceptions about collaborative contracts among construction professionals in Chile and to explore how lean tools and principles support the implementation of these contracts. It employs a twofold research methodology: a survey to gather empirical data, followed by a comprehensive literature. The survey focused on collecting data on the experience and perceptions of collaborative contracts, while the literature review sought to identify the intersection of these contracts with Lean Construction. The findings revealed a limited and varied understanding of collaborative contracts. Perceived benefits, such as improved efficiency and collaboration, aligned with the principles of Lean Construction. However, challenges were also identified, including the need for greater initial investment, cultural barriers, and complexity in managing multiple projects. The study emphasizes the need for a well-defined concept of collaborative contracts in Chile and posits Lean Construction as a vital tool to address challenges and bolster their implementation.

The research explores the potential of Generative Artificial Intelligence (GenAI) in enhancing data analysis processes within industrialized construction projects. The central question investigates whether a methodology can be developed to integrate GenAI into research workflows for construction projects. Existing studies highlight the challenges and opportunities of AI adoption in the construction industry but lack practical frameworks for its application in research, underscoring the need for this study. The study employs GenAI across three phases studies: analyzing standardized data from 13 projects to identify common patterns and best practices, processing 57 interview transcriptions from industry leaders to assess readiness for industrialized construction, and comparing manual versus AI-supported analysis using 39 projects from an online industrialized construction database. The findings reveal that GenAI significantly reduces data processing time, enabling researchers to focus on in-depth analysis. Key lessons include the importance of prompt design, the context of data inputs, and the trade-offs between generic and customized AI models. Building on these insights, the study proposes a GenAI-based methodology aligned with Lean Construction principles. The methodology was evaluated through a Likert-scale survey with seven construction professionals, confirming its clarity, feasibility, and applicability across various construction contexts.

En la educación superior, cada institución organiza sus comunidades académicas (CA) en base a sus modelos educativos. En el caso de la Universidad Autónoma de Chile (UA), las CA tradicionalmente operan mediante reuniones segmentadas por niveles semestrales. Sin embargo, en la UA, Sede Santiago, la carrera de Ingeniería en Construcción (IC) implementa una metodología innovadora que consiste en integrar todos los niveles de sus ciclos iniciales e intermedios en una sola reunión. Este estudio explora los efectos de dicha integración, facilitando un análisis tanto horizontal como vertical (intersemestral) de la educación. Los resultados preliminares sugieren que esta integración mejora la comunicación y colaboración entre docentes, potencia la coherencia curricular y enriquece el aprendizaje estudiantil al proporcionar una visión más amplia y conectada del programa académico. La implementación de reuniones integradas emerge como una estrategia prometedora para fomentar la continuidad educativa, progresión de aprendizajes y la cohesión académica en programas de ingeniería.

El presente artículo aborda el problema de las barreras que limitan la interacción efectiva entre la Construcción Industrializada (CI) y el Building Information Modeling (BIM), dos enfoques innovadores que prometen beneficios significativos en términos de eficiencia, sostenibilidad y calidad en la industria de la construcción. A pesar de sus ventajas, persisten obstáculos relacionados con factores económicos, culturales, tecnológicos, normativos y de gestión. Este estudio identifica y analiza dichas barreras a partir de una revisión exhaustiva de la literatura y la experiencia profesional, evaluando su impacto en la implementación global de CI y BIM. Sin embargo, se detecta la ausencia de un método estándar para medir dicho impacto y proponer estrategias de solución. El artículo propone enfoques prácticos para superar estos desafíos, como la colaboración interdisciplinaria, la creación de estándares comunes, la formación profesional y la promoción de la investigación. Se concluye reflexionando sobre el potencial transformador de CI y BIM para el sector, siempre que se aborden eficazmente las barreras identificadas.