Factors affecting construction productivity: a 30 year systematic review

A Hasan, B Baroudi, A Elmualim… - Engineering …, 2018 - emerald.com
Purpose A significant amount of work has been performed in the area of identification of
factors affecting construction productivity. Previous studies have tried to determine the most …

Artificial neural networks applications in construction and building engineering (1991–2021): science mapping and visualization

M Marzouk, A Elhakeem, K Adel - Applied Soft Computing, 2024 - Elsevier
Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Machine learning algorithms for construction projects delay risk prediction

A Gondia, A Siam, W El-Dakhakhni… - Journal of Construction …, 2020 - ascelibrary.org
Projects delays are among the most pressing challenges faced by the construction sector
attributed to the sector's complexity and its inherent delay risk sources' interdependence …

Prediction of risk delay in construction projects using a hybrid artificial intelligence model

ZM Yaseen, ZH Ali, SQ Salih, N Al-Ansari - Sustainability, 2020 - mdpi.com
Project delays are the major problems tackled by the construction sector owing to the
associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) …

Accident analysis for construction safety using latent class clustering and artificial neural networks

BU Ayhan, OB Tokdemir - Journal of Construction Engineering and …, 2020 - ascelibrary.org
Despite many improvements in safety management, the construction industry still has the
highest potential for occupational injuries including High Severe (HS) work events, which …

Impact of skilled labor availability on construction project cost performance

H Karimi, TRB Taylor, GB Dadi… - Journal of …, 2018 - ascelibrary.org
Abstract The North American construction industry began to experience a shortage of skilled
labor in the 1980s, which has continued as a repetitive cyclic trend over the last three …

Application of artificial neural network (s) in predicting formwork labour productivity

S Golnaraghi, Z Zangenehmadar… - Advances in Civil …, 2019 - Wiley Online Library
Productivity is described as the quantitative measure between the number of resources used
and the output produced, generally referred to man‐hours required to produce the final …

Application of artificial neural networks in construction management: a scientometric review

H Xu, R Chang, M Pan, H Li, S Liu, RJ Webber, J Zuo… - Buildings, 2022 - mdpi.com
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Role of management strategies in improving labor productivity in general construction projects in New Zealand: Managerial perspective

N Ghodrati, T Wing Yiu, S Wilkinson… - … of Management in …, 2018 - ascelibrary.org
This study aimed to quantify the effectiveness of a set of implemented management
strategies including incentive programs, labor management, training, communication …

Engineering approach using ANN to improve and predict construction labor productivity under different influences

KM El-Gohary, RF Aziz… - Journal of Construction …, 2017 - ascelibrary.org
Construction labor productivity is a fundamental piece of information for estimating,
budgeting, and scheduling a construction project. The current practice to estimate …