AN EXPLORATORY STUDY ON COMPLEXITY IN MEGA CONSTRUCTION PROJECTS

Download
2021-4
Bilgin, Gizem
Megaprojects are known as complex projects that involve high levels of uncertainty. This thesis aims to explore perceived complexity in mega construction projects by lived experiences of project managers. For this purpose, data were obtained through semi-structured interviews with 18 participants from 11 mega construction projects carried out by construction professionals. The data was processed with a grounded theory approach and analyzed using the QSR NVivo qualitative data analysis software. Findings show that while some factors contributing to project complexity stem from the known characteristics of the project, such as size, novelty, and the strategic importance of the project (static complexity factors), others are due to uncertainty stemming from operational, political, economic and financial conditions (emergent complexity factors). In this respect, the findings regarding the grounded theory approach closely matched with the existing literature on factors of project complexity. Research findings also showed that the coexistence of and interdependencies between the complexity factors that reveal a “pattern of complexity” has to be considered to understand complexity level rather than individual complexity factors. This finding reinforces the idea that project complexity should be better conceptualized and assessed by a pattern rather than a list or hierarchy of individual complexity factors. Findings may have some implications for assessment and management of complexity during risk management and developing organizational responses considering the type and level of complexity in mega construction projects.

Suggestions

A decision-support tool for risk and complexity assessment and visualization in construction projects
Dikmen Toker, İrem; Atasoy Özcan, Güzide; EROL, HACI HÜSEYİN; Kaya, Hazal Deniz; Birgönül, Mustafa Talat (2022-10-01)
© 2022 Elsevier B.V.Risk assessment in projects requires the integration of various information on project characteristics as well as external and internal sources of uncertainty and is based on assumptions about future and project vulnerability. Complexity is a major source of uncertainty that decreases the predictability of project outputs. In this research, the aim was to develop a decision-support tool that can estimate the level of risk and required contingency in a project by assessment of complexity ...
An analytic network process model for risk quantification of mega construction projects
Erol, Hacı Hüseyin; Dikmen Toker, İrem; Atasoy Özcan, Güzide; Birgönül, Mustafa Talat (2022-04-01)
Risk, complexity, and uncertainty are inherent components of megaprojects due to their unique features. However, existing project management practices lack a structured synthesis of these concepts, which leads to unrealistic risk assessments, ineffective management strategies, and poor project performance. In order to fill this gap, this research aims to develop a holistic risk quantification approach incorporating risk-related concepts. For this purpose, a conceptual risk assessment process developed for m...
A genetic algorithm for resource leveling of construction projects
Iranagh, Mahdi Abbasi; Sönmez, Rifat (2012-01-01)
Critical path method (CPM) is commonly used in scheduling of construction projects. However, CPM only considers the precedence relations between the activities and does not consider resource optimization during scheduling of projects. Optimal allocation of resources can be achieved by resource levelling. Resource levelling is crucial for effective use of construction resources particularly to minimize the project costs. However, commercial scheduling software has very limited capabilities for solving the re...
An exploratory study on utilization of BIM for risk management
Kaya, Hazal Deniz; Dikmen, İrem; Atasoy, Güzide; Birgönül, Mustafa Talat (İstanbul Teknik Üniversitesi; 2020-11-14)
It is a well-known fact that BIM application in construction projects enables several advantages such as better collaboration and communication, effective project visualization before construction, more efficient cost estimation and scheduling, and an increase in productivity. Although many of these advantages that BIM contributes to construction projects may result in opportunities for better risk management, there are limited studies in the construction management literature that investigate this subject....
An integrated scheduling and control model for multi-mode projects
Hazır, Öncü; Schmidt, Klaus Verner (2013-01-01)
In today's highly competitive uncertain project environments, it is of crucial importance to develop analytical models and algorithms to schedule and control project activities so that the deviations from the project objectives are minimized. This paper addresses the integrated scheduling and control in multi-mode project environments. We propose an optimization model that models the dynamic behavior of projects and integrates optimal control into a practically relevant project scheduling problem. From the ...
Citation Formats
G. Bilgin, “AN EXPLORATORY STUDY ON COMPLEXITY IN MEGA CONSTRUCTION PROJECTS,” M.S. - Master of Science, Middle East Technical University, 2021.