[HTML][HTML] Evolution of studies in construction productivity: A systematic literature review (2006–2017)

S Dixit, SN Mandal, JV Thanikal, K Saurabh - Ain Shams engineering …, 2019 - Elsevier
The authors have attempted to summarize the evolution of research in Construction
Productivity (CP) through a Systematic Literature Review (SLR) from the papers published …

Application of multiple criteria decision making methods in construction: A systematic literature review

X Zhu, X Meng, M Zhang - Journal of Civil Engineering and …, 2021 - pure.qub.ac.uk
Decision making is a key to business or project success in any sectors, especially in
construction that requires handling numerous information and knowledge. Multiple criteria …

Integration of industry 4.0 related technologies in construction industry: a framework of cyber-physical system

Z You, L Feng - Ieee Access, 2020 - ieeexplore.ieee.org
The Fourth Industrial Revolution (Industry 4.0) is resha** the construction industry and
bringing it into an intelligent construction era. Emerging technologies, such as the Building …

Accident prediction in construction using hybrid wavelet-machine learning

K Koc, Ö Ekmekcioğlu, AP Gurgun - Automation in construction, 2022 - Elsevier
Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …

Prediction of cost and duration of building construction using artificial neural network

JA Ujong, EM Mbadike, GU Alaneme - Asian Journal of Civil Engineering, 2022 - Springer
In this research study, the investigation of building details on the construction project cost
and duration using artificial neural networks (ANNs) which possesses the ability to …

Application of neural networks and neuro-fuzzy models in construction scheduling

JI Obianyo, RC Udeala, GU Alaneme - Scientific Reports, 2023 - nature.com
Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities

H Omar, L Mahdjoubi, G Kheder - Computers in Industry, 2018 - Elsevier
The construction industry has a poor productivity record, which was predominantly ascribed
to inadequate monitoring of how a project is progressing at any given time. Most available …

Machine learning for construction crew productivity prediction using daily work reports

A Sadatnya, N Sadeghi, S Sabzekar, M Khanjani… - Automation in …, 2023 - Elsevier
Construction productivity estimation lacks a comprehensive, standard, and task-type-
independent framework to generate and serialize Machine Learning (ML) models. This …

Off-site construction optimization: Sequencing multiple job classes with time constraints

M Arashpour, R Wakefield, B Abbasi, EWM Lee… - Automation in …, 2016 - Elsevier
Off-site construction is a unique hybrid of manufacturing operations and on-site construction
activities. Maximizing the production output has long been the main challenge for off-site …

[HTML][HTML] Applications of fuzzy hybrid techniques in construction engineering and management research

PHD Nguyen, AR Fayek - Automation in Construction, 2022 - Elsevier
Construction engineering and management (CEM) becomes more complex with increasing
project size and complexity. Various fuzzy hybrid techniques have been implemented to …