Orozco, Francisco
Main Affiliation
Preferred name
Orozco, Francisco
Official Name
Orozco Argote, Francisco Alejandro
ORCID
0000-0003-2409-1026
Researcher ID
X-2139-2018
Scopus Author ID
51764300800
24 results
Now showing 1 - 10 of 24
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Item type:Publication, Barriers to BIM Implementation in Bridge Construction: A Case Study(International Group for Lean Construction, 2023-06-26) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Lean Construction Barriers From the Organizational Culture Lens(International Group for Lean Construction, 2025-06-02); ; ; Reinaldo Valdebenito - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gini Index in the Construction Industry; the case study of Chile(2021)25 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Statistical Analysis of Lean Construction Barriers to Optimize Its Implementation Using PLS-SEM and PCA(2024); ; <jats:p>The construction industry performs many tasks scheduled and related to other activities. Companies must optimize their operations, increase efficiency, eliminate waste, and deliver better products to their customers. As a result, this study aims to identify the main challenges associated with the implementation of the Lean Construction model in small and medium-sized construction companies and optimize the implementation of this process using statistically-focused mathematical models. This study was conducted using the partial least squares (PLS-SEM) method and also carried out the principal component analysis to optimize Lean barriers so that they can be properly implemented in the construction industry. The most important obstacles are displayed, as well as the relationships with other factors. Significant relationships have been discovered between the barriers to Lean construction adoption, especially with regard to corporate culture, communication, training, leadership, and the influence of mentality on business and employee adaptability. Construction executives and managers can make well-informed policy and strategic decisions by having a thorough understanding of the main barriers to Lean implementation. This information enables them to focus on the implementation of Lean technologies in projects, to increase market competitiveness, reduce waste and enhance overall work efficiency.</jats:p>64 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Application of Problem-Based Learning to Teaching the Critical Path Method(2015); Scopus© Citations 26 12 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ant Colony Optimization Model for Tsunamis Evacuation Routes(2014); Scopus© Citations 80 22 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Characterization of Process Variability in Construction(2014)Scopus© Citations 24 8 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Liderazgo en la industria de la construcción(2007); 19 154 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial Bee Colony Algorithm to Optimize the Safety Distance of Workers in Construction Projects(2024); Duzgun Agdas<jats:p>This paper presents the results of a simulation model regarding the productivity and safety working space for construction workers through the floors of a building using swarm intelligence (SI), a field of artificial intelligence (AI), and specifically using artificial bee colony (ABC) optimization. After designing the algorithm used to build the simulation model, the simulation was used in an actual building project by comparing the travel times of workers conventionally transporting material with another group working on routes optimized by the algorithm. Thus, the proposed algorithm provides routes combining shorter travel times and correct distances between workers when transporting materials in a construction site, handling the interference between crews. After validating the algorithm on-site, no statistically significant differences were found between the travel times of workers and the times delivered by the algorithm. Additionally, the travel times using the routes obtained through the algorithm were significantly lower than those made by workers who moved freely without a predefined route. In summary, the algorithm proposed may help construction practitioners maintain safe movements that respond to hazard contexts imposed by any restriction that demands a safety distance.</jats:p>33 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Erratum for “Characterization of Process Variability in Construction” by M. Poshdar, V. A. González, G. M. Raftery, and F. Orozco(2014)9 1
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