Risk Management and Quality Control in Construction Projects with an Analytical Hierarchy Process (AHP) Approach

This study investigates the integration of Hierarchical Analysis (HA) into risk management strategies for construction projects in emerging markets. In order to assess the relative importance of different risk factors, an Analytic Hierarchy Process (AHP) was employed, with data collected through surveys of 60 industry professionals from emerging economies. Safety, though vital, was the least prioritized factor, suggesting that safety measures are generally considered to be standardized and well-managed within the industry. The research highlights the potential of using HA as a structured approach for construction managers to allocate resources effectively, make informed decisions, and mitigate risks without compromising on project timelines, costs, or quality. This methodology is particularly beneficial in emerging markets, where uncertainty and resource constraints often pose challenges to project success. Ultimately, the study underscores the need for a more systematic approach to risk management that enhances the ability of project managers to navigate the complexities of construction projects, leading to improved outcomes and greater project efficiency. The key findings from the AHP analysis reveal that time management holds the highest weight at 33%, followed by cost management at 27%, and quality at 21%. Within the cost criterion, material costs carry the most weight at 50%, while under the time criterion, construction speed is the most prioritized sub-criterion at 60%. Risk factors such as financial risks were given a weight of 47%, and environmental risks were prioritized at 32%. Safety, with the least importance, holds a weight of just 5%.