Understanding complexity at the pre-construction stage of project planning for construction projects

[thumbnail of Open Access]
Preview
Text (Open Access)
- Published Version
· Available under License Creative Commons Attribution.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Barani Shikhrobat, M., Flanagan, R. and Kabiri, S. ORCID: https://orcid.org/0000-0002-5311-7304 (2025) Understanding complexity at the pre-construction stage of project planning for construction projects. American Journal of Operations Research, 15 (1). pp. 1-27. ISSN 2160-8849 doi: 10.4236/ajor.2025.151001

Abstract/Summary

The construction projects’ dynamic and interconnected nature requires a comprehensive understanding of complexity during pre-construction. Traditional tools such as Gantt charts, CPM, and PERT often overlook uncertainties. This study identifies 20 complexity factors through expert interviews and literature, categorising them into six groups. The Analytical Hierarchy Process evaluated the significance of different factors, establishing their corresponding weights to enhance adaptive project scheduling. A system dynamics (SD) model is developed and tested to evaluate the dynamic behaviour of identified complexity factors. The model simulates the impact of complexity on total project duration (TPD), revealing significant deviations from initial deterministic estimates. Data collection and analysis for reliability tests, including normality and Cronbach alpha, to validate the model’s components and expert feedback. Sensitivity analysis confirmed a positive relationship between complexity and project duration, with higher complexity levels resulting in increased TPD. This relationship highlights the inadequacy of static planning approaches and underscores the importance of addressing complexity dynamically. The study provides a framework for enhancing planning systems through system dynamics and recommends expanding the model to ensure broader applicability in diverse construction projects.

Altmetric Badge

Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/123154
Identification Number/DOI 10.4236/ajor.2025.151001
Refereed Yes
Divisions Science > School of the Built Environment > Construction Management and Engineering
Science > School of the Built Environment > Organisation, People and Technology group
Publisher Scientific Research Publishing
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record