Roles of artificial intelligence in construction engineering and management: A critical review and future trends
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …
Novel machine-learning model for estimating construction costs considering economic variables and indexes
In addition to materials, labor, equipment, and method, construction cost depends on many
other factors such as the project locality, type, construction duration, scheduling, and the …
other factors such as the project locality, type, construction duration, scheduling, and the …
Critical literature review of labor multiskilling in construction
Research in multiskilling experiences an incremental trend from academic, industrial, and
governmental point of views. Different methodologies have been used in previous research …
governmental point of views. Different methodologies have been used in previous research …
Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction
In advanced manufacturing of building elements, process integration and utilization of multi-
skilled resources enhance the flexibility of production networks against variations in demand …
skilled resources enhance the flexibility of production networks against variations in demand …
Optimal work assignment to multiskilled resources in prefabricated construction
Multiskilling allows for dynamic reallocation of workers from one stage of production to
another in response to bottleneck configurations and, therefore, has been advocated as a …
another in response to bottleneck configurations and, therefore, has been advocated as a …
Using machine learning to analyze and predict construction task productivity
L Florez‐Perez, Z Song… - Computer‐Aided Civil and …, 2022 - Wiley Online Library
The factors that affect productivity are a major focus in construction. This article proposes a
machine learning–based approach to predict task productivity by using a subjective …
machine learning–based approach to predict task productivity by using a subjective …
[PDF][PDF] Overview of construction simulation approaches to model construction processes
Construction simulation is a versatile technique with numerous applications. The basic
simulation methods are discrete-event simulation (DES), agent-based modeling (ABM), and …
simulation methods are discrete-event simulation (DES), agent-based modeling (ABM), and …
Work–Rest Schedule Optimization of Precast Production Considering Workers' Overexertion
The production process of precast components is labor-intensive, involving various manual
tasks. The physically demanding tasks usually result in fatigue and overexertion of workers …
tasks. The physically demanding tasks usually result in fatigue and overexertion of workers …
Skill set configuration in prefabricated construction: Hybrid optimization and multicriteria decision-making approach
In offsite construction, unbalanced distribution of resources can cause heterogeneity in the
production environment and result in cost and time overruns. It is of particular importance to …
production environment and result in cost and time overruns. It is of particular importance to …
[HTML][HTML] Sustainable allocation model of construction workforce for work resumption during COVID-19
L Wang, D Zhao, Y Zhong - Sustainability, 2021 - mdpi.com
COVID-19 has posed challenges for the construction industry, such as precise pandemic
control, sustainable labor relations, and loss minimization. In response to these challenges …
control, sustainable labor relations, and loss minimization. In response to these challenges …