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Construction site layout planning methods: An analytical review

Otukogbe, Ganiyu; Oyedele, Lukumon; Akanbi, Lukman; Manuel Davila-Delgado, Manuel; Owolabi, Hakeem; Ganiyu, Sikiru; Olojede, Ismail; Naimah Muhammed-Yakubu, Naimah; Kadiri, Kabir

Construction site layout planning methods: An analytical review Thumbnail


Authors

Ganiyu Otukogbe Ganiyu.Otukogbe@uwe.ac.uk
TSU Research Fellow (BIM)- Project Analytics with Digital Technologies NOM

Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management

Dr Lukman Akanbi Lukman.Akanbi@uwe.ac.uk
Associate Professor - Big Data Application Developer

Manuel Davila Delgado Manuel.Daviladelgado@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Hakeem Owolabi Hakeem.Owolabi@uwe.ac.uk
Associate Professor - Project Analytics and Digital Enterprise

Sikiru Ganiyu Sikiru.Ganiyu@uwe.ac.uk
Research Fellow - Augmented Reality Application Development with BIM

Ismail Olojede Ismail.Olojede@uwe.ac.uk
Research Associate - Project Analytics using Digital Technologies

Kabir Kadiri Kabir.Kadiri@uwe.ac.uk
Associate Lecturer - CBAL - SBBS - UBBS0001



Abstract

Designing an effective construction site layout planning is essential to the successful implementation of construction projects. Construction site layout planning involves the optimal layout of facilities (i.e., fixed, and temporary facilities). Several techniques are used in addressing the construction site layout planning problems. With the advent of the different techniques used in addressing these problems, three major categories have been identified in this study: knowledge-based models, mathematical models, and hybrid models.
Most of the reviewed peer-reviewed articles in this study focused on static construction site layout planning problems, while a significant number also focused on dynamic site layout planning problems. Nearly all the reviewed articles focused on solving the objective function of the optimal layout of facilities. Furthermore, this study made use of a systematic review to extract essential data from the reviewed articles. Analytical data on the research methods, improvement focus, construction site layout planning problems, methods and objective functions were identified and critically analysed to assist practitioners in the industry and future research.

Presentation Conference Type Conference Paper (Published)
Conference Name IDoBE International Conference on Uncertainty in the Built Environment: How can we build a resilient future in the new normal?, 2021
Start Date Nov 22, 2021
End Date Nov 24, 2021
Acceptance Date Apr 1, 2021
Publication Date 2021
Deposit Date Apr 4, 2023
Publicly Available Date Apr 5, 2023
Book Title Proc. of the IDoBE International Conference on Uncertainty in the Built Environment: How can we build a resilient future in the new normal?
Public URL https://uwe-repository.worktribe.com/output/10608179
Related Public URLs https://globalabc.org/events/idobe-international-conference-uncertainties-built-environment-how-can-we-build-resilient

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