Ganiyu Otukogbe Ganiyu.Otukogbe@uwe.ac.uk
TSU Research Fellow (BIM)- Project Analytics with Digital Technologies NOM
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
Authors
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
Dr Naimah Muhammed-Yakubu Naimah.Muhammed-Yakubu@uwe.ac.uk
Lecturer in Strategic Operations Management
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 |
Files
Construction site layout planning methods: An analytical review
(311 Kb)
PDF
Licence
http://www.rioxx.net/licenses/all-rights-reserved
Publisher Licence URL
http://www.rioxx.net/licenses/all-rights-reserved
Copyright Statement
This is the author’s accepted manuscript. The final published version is available here:
https://idobeconf-lsbu.co.uk/
You might also like
Reducing waste to landfill: A need for cultural change in the UK construction industry
(2016)
Journal Article
Predicting completion risk in PPP projects using big data analytics
(2018)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search