Developing a Kanban-Based Dynamic Risk Management Framework for Construction Projects

Abstract

The paper explores the shortcomings of conventional construction risk management strategies and suggests an algorithmic system based on Kanban to facilitate a flexible, automated risk management. Results of two case studies indicate that probability-impact matrices and AHP, that are commonly used, can be effective in identifying and prioritising risks but are static, unable to reflect the urgency of time and dependencies amongst risk factors. The new framework will fill these gaps by combining risk attributes with Algorithmic logic and workflow-based automation, and risks can be subject to dynamic transfers between governance states. Simulation Scenario-based simulation shows that the framework enhances the responsiveness by instigating real-time escalation, prioritisation and assignment activities, reducing delays caused by manual decision-making. The comparative analysis further supports the fact that the framework improves compliance with the ISO 31000 principles since it includes an ongoing monitoring and feedback system. In general, the results confirm that an algorithmic approach based on the Kanban system can turn the risk management into an active, dynamic system which is more efficient in terms of decisions and the control of risks in the project.