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Using BIM for delay management in public sector construction projects in KSA

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thesis
posted on 30.01.2020, 08:58 by Essa Alenazi
The Kingdom of Saudi Arabia (KSA) is not an exception in relying on the advancement of its construction industry to support rapid population growth. However, its need for infrastructure development is constrained by low productivity levels and cost overruns caused by factors such as delays in completing projects. Delays in construction projects are a global issue, and while theories such as Optimism Bias can explain some aspects of delays, in KSA, client-related causes of delays are very endemic in public sector projects. These have negative consequences on national development as well as public trust and expectations. Although several studies on delays in construction projects have been carried out globally, these problems have not been comprehensively tackled due to limitations in existing project management techniques. Therefore, to address this research gap, the aim of this study is to examine a new approach to reducing and managing delays in construction projects through Building Information Modelling (BIM), especially with regards to eliminating optimism bias and reducing the cost consequences that such delays have on Saudi public-sector projects.
To achieve this aim, a qualitative approach has been adopted for data collection using multiple case studies to investigate how BIM would help the analysis and management of delays in specific kinds of projects. [Continues.]

Funding

Saudi Arabia, Ministry of Education

History

School

  • Architecture, Building and Civil Engineering

Publisher

Loughborough University

Rights holder

© Essa Othman Alenazi

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.

Language

en

Supervisor(s)

Zulfikar Adamu ; Tarek Hassan

Qualification name

PhD

Qualification level

Doctoral

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