Integrating system dynamics and functional resonance analysis method (FRAM) for enhanced complexity management in mega construction projects: a case study of the channel tunnel

Abstract

Mega construction projects are characterized by their vast scales and complexities, presenting significant challenges in complexity management and scheduling, often leading to delays and budget overruns. This research identifies the management of complexity and scheduling as primary problems in mega construction projects. Traditional project management methodologies, like those in the Project Management Body of Knowledge (PMBOK), often fail to address the non-linear complexities and dynamic scheduling demands of such largescale projects. This study explores alternative approaches to improve project management practices, focusing on the integration of the Functional Resonance Analysis Method (FRAM) and system dynamics modeling. FRAM, developed by Hollnagel, offers a system thinking approach to manage complexity by analyzing variabilities within normal work interactions, making it suitable for complex environments. System dynamics modeling provides a robust framework for simulating complex interactions and feedback loops within a project, offering valuable insights into potential points of failure and areas requiring strategic intervention. By integrating system dynamics with FRAM, this research develops a more holistic and adaptive project management methodology. The proposed methodology is demonstrated through a case study of the Channel Tunnel project, highlighting the practical application and benefits of the integrated model. The model's qualitative validation was achieved through interviews with industry experts, confirming its relevance and applicability. However, quantitative validation is necessary to further confirm its accuracy and reliability. Future research should focus on extending the system dynamics model to include more underlying factors affecting the risk-augmented iron triangle in construction projects, as well as performing and validating the model quantitatively. This study bridges a crucial gap in existing literature by proposing an innovative integration of FRAM with system dynamics, enhancing the resilience and flexibility of project management methodologies in mega construction projects. The findings emphasize the need for more adaptive and comprehensive models to effectively manage the complexities and risks associated with large-scale infrastructure projects.

Date	12 Aug 2024
Original language	American English
Awarding Institution	École de technologie supérieure
Supervisor	Yvan Beauregard (Supervisor)