Moreno Abril, Francisco
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Preferred name
Moreno Abril, Francisco
Official Name
Moreno Abril, Francisco
Alternative Name
fmorenoa
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Scopus Author ID
57216589010

Research Output
Now showing 1 - 6 of 6
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Publication

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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Publication

Towards a Model That Sees Human Resources as a Key Element for Competitiveness in Construction Management

2023 , Romo Gamboa, Rubén , Orozco, Francisco , Eric Forcael , Moreno Abril, Francisco

The construction industry is continuously affected by external and internal agents that modify and define its competitiveness. Changing markets, currency fluctuations, and tremendous competition have made the issue of competitiveness increasingly important. The literature highlights factors that determine the competitiveness of construction firms, including easy-to-measure elements, such as financial, sales, return on investment, etc., while other elements are not as easily measurable, such as customer satisfaction, employee satisfaction, loyalty, and leadership, among many others. Within these factors, Human Resources (HR) has occupied a central place in the last decade, due to the enormous impact that labor has on project execution. This research mainly focuses on the study of HR and its components to reach a deeper understanding of the impact that HR has on the competitiveness of construction companies. After defining the most relevant variables, an interrelationships model was proposed with the Partial Least Square (PLS) technique. These HR variables impact the competitiveness variables: cost, utility, time, quality, Staff retention, and Health & Safety. The PSL analyses met the evaluation criteria using the structural model, confirming its viability. It was found that there are three important variables related to competitiveness: (i) leadership, (ii) innovation, and (iii) competitiveness.

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Publication

Programación de flujo recurso electrónico y de recursos en la industria de la construcción utilizando métodos matemáticos

2008 , Moreno Abril, Francisco

Los alcances que se incluirán dentro de la tesis describiendo cada uno de los capítulos son la intención de dar al lector un conocimiento necesario para poder desarrollar sus propios criterios de lo que es la programación de obra viendo tanto el punto de vista de una distribución lineal y el conocer otros tipos de distribución. En el capítulo II, se presentará el marco teórico de la tesis que incluirá información básica de lo que es la programación de obra, adentrándose al sistema PERT, a CPM, y al uso de herramientas más innovadoras como son la simulación por Monte Carlo. Se presentará los diversos tipos de distribuciones estadísticas y las más usuales para realizar un análisis más completo, y terminando con una propuesta de un tema a desarrollar para futuras tesis, como es la nivelación de recursos. En el capítulo III, la propuesta de la encuesta a ser tomada dentro de nuestro medio en Guadalajara, junto con el análisis del número de certidumbre para obtener el número de encuestas a ser tomada, al igual se seleccionarán las preguntas para ser presentado. Se presentará los resultados totales de la encuesta, así como las Observaciones y comentarios de cómo se presentó la encuesta a los encuestados. Dentro de la parte final de este capítulo, se presentará una propuesta como realizar una modelo para poder calcular una programación usando cualquier tipo de distribución (utilizando Excel como plataforma), y usando la simulación de Monte Carlo para poder calcular la duración de las actividades, visto desde una forma práctica. En el capítulo IV, se realizará el análisis de los resultados obtenidos dentro de las encuestas tomadas y viendo la posibilidad y el campo de acción que se puede presentar para el uso de distribuciones fuera de la uniforme y el interés de la sociedad constructora. De igual manera se realizará un ejemplo práctico en la cual se presentará una simulación con una corrida utilizando únicamente distribución uniforme y la duración determinada por experiencia, comparándola contra uso de varias distribuciones por tipo de insumo y la duración de las actividades determinada por la simulación de Monte Carlo, comparando una con otra. En el capítulo V, se mostrará las conclusiones de los análisis realizados y los futuros campos de acción que pueden partir de esta tesis para futuras investigaciones, como son la revisión de este análisis con una obra en proceso a corto plaza, mediano plazo y largo plazo, y el uso de la herramienta de nivelación de recursos.

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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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Labor Inclusion in the Construction Sector: Evidence from Mexico

2023 , Tovar-García, Edgar Demetrio , Ornelas-Barajas, Luis Alfonso , Moreno Abril, Francisco

This study aims to present empirical evidence demonstrating the receptiveness of construction professionals and individuals with spinal cord injuries to participate in the construction sector, challenging the prevalent belief that spinal cord injury precludes labor inclusion. Accordingly, in August 2021, this study conducted two surveys to collect data from distinct groups: builders and individuals with spinal cord injuries. The builder survey involved a representative sample of 52 respondents, drawn from a population of 322 members of the Mexican Chamber of the Construction Industry,Jalisco delegation. Simultaneously, 44 individuals with spinal cord injuries participated in the survey, sourced from a pool of 455 members affiliated with Don Bosco sobre Ruedas and Vida Independiente. The survey process facilitated a comprehensive diagnosis, identifying potential areas for enhanced inclusion within the construction sector. The empirical findings challenge conventional wisdom, indicating that a spinal cord injury does not act as a barrier to labor inclusion within the construction sector. On the contrary, the study emphasizes that having employees with disabilities can exert a positive impact on company dynamics. Moreover, the research identifies specific activities where individuals with spinal cord injuries exhibit a higher potential for inclusion, thereby redefining traditional expectations. Therefore, this study contributes to the originality of the existing discourse by providing concrete empirical evidence that counters widespread assumptions about the limitations faced by individuals with spinal cord injuries within the construction industry

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A Fixed Start Scheduling Approach for Repetitive Construction Projects

2020 , Moreno Abril, Francisco , Orozco, Francisco , Rojas, Omar , Bolivar Senior , Mani Poshdar , Eric Forcael

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