Orozco, Francisco
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Preferred name
Orozco, Francisco
Official Name
Orozco Argote, Francisco Alejandro
Alternative Name
forozco
Main Affiliation
ORCID
Scopus Author ID
51764300800
Researcher ID
X-2139-2018

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Relationship Between Professional Competencies Required by Engineering Students According to ABET and CDIO and Teaching–Learning Techniques

2022 , Eric Forcael , Gonzalo Garces , Orozco, Francisco

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Modeling the performance impacts caused by an earthquake to the construction industry: Case study on the 2010 Chile earthquake

2017 , Eric Forcael , Vicente González , Alexander Opazo , Orozco, Francisco , Richard Araya

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Ontological Models for Simulation of Building Construction Processes

2019 , Eric Forcael , Orozco, Francisco , Francisco Ramis , Carlos Rodríguez , Milen Salgado

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Artificial Bee Colony Algorithm to Optimize the Safety Distance of Workers in Construction Projects

2024 , Eric Forcael , Ibzan Carriel , Alexander Opazo-Vega , Moreno Abril, Francisco , Duzgun Agdas , Romo Gamboa, Rubén , Orozco, Francisco

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.

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Gini Index in the Construction Industry; the case study of Chile

2021 , Forcael, Eric , Sagredo, Cristóbal , Garcés, Gonzalo , Peña, Camilo , Orozco, Francisco , Moreno Abril, Francisco

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Modeling Competitiveness Factors and Indexes for Construction Companies: Findings of Chile

2014 , Orozco, Francisco , Alfredo F. Serpell , Keith R. Molenaar , Eric Forcael

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Analysis of Causes of Delay and Time Performance in Construction Projects

2014 , González, Pablo , González, Vicente , Molenaar, Keith , Orozco, Francisco

Activity delays are a common issue in the construction industry and can increase project schedules and costs. Recent research efforts have focused on the quantitative evaluation of delay impacts. The literature suggests that the construction industry is in need of additional research to systematically relate the causes of delays to their impacts. To overcome this limitation, this paper analyzes delay causes in activities that were not completed as scheduled. The paper contributes to a methodology to examine the qualitative (delay causes) and quantitative (time performance) dimensions of the delay issue. The paper proposes two indicators, as follows: (1) reason for noncompliance (RNC) as an indicator that characterizes scheduling failures, and (2) delay index (DI) as a time-performance indicator that describes the impacts of delay on critical and noncritical activities. The paper presents two building projects as case studies, with planning and subcontractors as the primary RNCs that have the greatest impact on time performance. Planning was the most harmful delay cause on time performance.

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A Probabilistic-Based Method to Determine Optimum Size of Project Buffer in Construction Schedules

2016 , M. Poshdar , V. A. González , G. M. Raftery , Orozco, Francisco , J. S. Romeo , E. Forcael

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Application of Problem-Based Learning to Teaching the Critical Path Method

2015 , Eric Forcael , Vicente González , Orozco, Francisco , Alexander Opazo , Álvaro Suazo , Pablo Aránguiz

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Liderazgo en la industria de la construcción

2007 , Orozco, Francisco , FRANCISCO ALEJANDRO OROZCO ARGOTE;308495 , FRANCISCO ALEJANDRO OROZCO ARGOTE;308495 , Campus Guadalajara

En el siguiente capítulo, referente al Marco Teórico, encontraremos la información relativa al contexto general del trabajo, donde podremos ver un poco mås a detalle en qué consisten cada una de Ias clasificaciones de liderazgo que nos presentan las teorías de Goleman, Maccoby y Reddin. Además algunas circunstancias que envuelven a la industria de la construcción en cuanto a dirección y liderazgo. Una vez teniendo el marco conceptual del proyecto, continuaremos con el capítulo relativo a Medición, en el cual se presentará la herramienta que se utilizó para la realización de las entrevistas, su forma de aplicación y Ios resultados obtenidos. En el capítulo de Análisis se procesan Ios resultados obtenidos y se describen las relaciones entre los diversos factores. Teniendo este capítulo la finalidad de encontrar los principales indicadores que nos señalen la dirección que tomarán los resultados y las conclusiones. Para finalizar, el último capítulo presentará las conclusiones del trabajo, en donde se expondrán de manera sustentada algunos índices importantes encontrados y el perfil, o perfiles, que resulten del análisis.

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