Investigation of work order processing in different facilities: a questionnaire-based survey

M Ensafi, W Thabet, D Besiktepe - Facilities, 2024 - emerald.com
Purpose The aim of this paper was to study current practices in FM work order processing to
support and improve decision-making. Processing and prioritizing work orders constitute a …

Construction and Demolition Waste Management and Artificial Intelligence–A Systematic Review

CMN Lopes, AA Cury… - … Gestão Social e …, 2024 - rgsa.openaccesspublications.org
Objective: The present study aims to identify how Artificial Intelligence (AI) techniques are
being employed in Construction and Demolition Waste (CDW) management through a …

Developing a Machine-Learning Model to Predict Clash Resolution Options

A Harode, W Thabet, X Gao - Journal of Computing in Civil …, 2024 - ascelibrary.org
Even with the utilization of software tools like Navisworks to automate clash detection, clash
resolution in construction projects remains a slow and manual process. The reason is the …

A Computer Vision Approach to Assessing Work-Related Musculoskeletal Disorder (WMSD) Risk in Construction Workers

S Halder, S Alimoradi, K Afsari… - … Research Congress 2024, 2024 - ascelibrary.org
Work-related musculoskeletal disorders (WMSDs) are a group of painful disorders of
muscles, tendons, and nerves caused due to improper work postures prevalent in …

[PDF][PDF] WORK ORDER PRIORITIZATION USING NEURAL NETWORKS TO IMPROVE BUILDING OPERATION

X Gao - 2024 - itcon.org
Current practices for prioritizing maintenance work orders are mainly user-driven and lack
consistency in collecting, processing, and managing the large amount of data. While …

Contribution of artificial intelligence (ai) to construction project management processes: State of the art with scoping review method

H Aladağ, İ Güven, O Balli - Sigma Journal of Engineering and …, 2024 - dergipark.org.tr
The Artificial Intelligence (AI) is being considered as a new way to tackle the challenges
frequently faced by the Architecture, Engineering and Construction (AEC) industry in terms …

CONSTRUCTION AND DEMOLITION WASTE MANAGEMENT AND ARTIFICIAL INTELLIGENCE-A SYSTEMATIC REVIEW.

C de Melo Nunes Lopes… - … Journal/Revista de …, 2024 - search.ebscohost.com
Objective: The present study aims to identify how Artificial Intelligence (AI) techniques are
being employed in Construction and Demolition Waste (CDW) management through a …

Using Hybrid Artificial Intelligence Optimization Method to Predict Construction Labour Productivity

E Efekan, T Celik, OB Tokdemir - International Symposium of the …, 2023 - Springer
Precise estimation of productivity is crucial for construction managers in making timely
decisions. The aim is to propose a novel theoretical approach for predicting and optimizing …