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Listar por Patrocinador "Pontificia Universidad Católica de Valparaíso"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por Patrocinador "Pontificia Universidad Católica de Valparaíso"

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    Comparing Team Interactions in Traditional and BIM-Lean Design Management 
    Herrera, Rodrigo F.; Mourgues, Claudio; Alarcón, Luis F.; Pellicer, Eugenio (MDPI AG, 2021-09)
    [EN] There is qualitative evidence showing that design teams that use BIM-lean management have a higher level of interaction than design teams that do not use this management approach. However, there is no quantitative ...
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    Impact of game-based learning on understanding Lean Construction Principles 
    Herrera, Rodrigo F.; Sanz-Benlloch, María Amalia; Montalbán-Domingo, Laura; García-Segura, Tatiana; Pellicer, Eugenio (MDPI AG, 2019-10-01)
    [EN] 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 ...
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    Key Skills to Work With Agile Frameworks in Software Engineering: Chilean Perspectives 
    Cornide-Reyes, Héctor; Riquelme, Fabián; Noel, René; Villarroel, Rodolfo; Cechinel, Cristian; Letelier Torres, Patricio Orlando; Muñoz, Roberto (Institute of Electrical and Electronics Engineers, 2021)
    [EN] Agile frameworks continue to provide positive evidence regarding the benefits of their use in the software products. Since these methods develop professional skills in those who practice them, their knowledge and use ...
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    Machine learning techniques applied to construction: A hybrid bibliometric analysis of advances and future directions 
    García, Jose; Villavicencio, Gabriel; Altimiras, Francisco; Crawford, Broderick; Soto, Ricardo; Minatogawa, Vinicius; Franco, Matheus; Martínez-Muñoz, D.; Yepes, V. (Elsevier, 2022-10)
    [EN] Complex industrial problems coupled with the availability of a more robust computing infrastructure present many challenges and opportunities for machine learning (ML) in the construction industry. This paper reviews ...