Factors Influencing Delay Analysis Method Selection in UAE Construction Projects

The construction industry in the UAE faces significant challenges related to project delays. Delay analysis methods (DAMs) have been developed to address these issues, allowing stakeholders to analyze the causes and effects of delays effectively. This document investigates the factors influencing the selection of DAMs in the UAE context. A qualitative approach was employed, gathering insights from eight experts across five different projects. The findings reveal that the selection of DAMs is influenced by various factors, including the client's attitude, the delay analyst's experience, and the complexity of the project. The research emphasizes the need for organizations to establish clear guidelines for selecting appropriate DAMs to safeguard their commercial interests. As the UAE's construction sector continues to grow, understanding these factors becomes increasingly critical for project success.

Several key factors impact the choice of delay analysis methods in construction projects. The attitude of the client plays a crucial role, as clients who are more engaged and informed tend to influence the selection process positively. Additionally, the experience and reputation of the delay analyst are paramount. Analysts with a strong track record are more likely to be trusted with complex projects. The complexity of the project itself also dictates the choice of DAM. Projects with intricate timelines and multiple stakeholders require more sophisticated analysis methods. Cost and timing considerations further complicate the decision-making process. The research highlights that organizations must weigh these factors carefully to ensure the chosen DAM aligns with project requirements and stakeholder expectations.

The document reviews several commonly used delay analysis methods (DAMs) in the construction industry. Among these, the As Planned vs. As Built (APvAB) method is frequently cited for its simplicity and effectiveness. It compares planned activities against actual performance, providing a clear picture of delays. Other methods, such as Impacted as Planned (IAP) and Time Impact Analysis (TIA), offer different strengths and weaknesses. The choice of method is context-specific, and no single approach fits all scenarios. The research underscores the importance of understanding the unique characteristics of each project when selecting a DAM. This knowledge is essential for ensuring accurate analysis and effective resolution of delay-related issues.

The findings of this research have significant implications for the construction industry in the UAE. By identifying the factors that influence the selection of delay analysis methods, stakeholders can make informed decisions that enhance project outcomes. The establishment of clear guidelines for DAM selection can lead to more effective delay management, ultimately protecting commercial interests. Furthermore, as the construction landscape in the UAE evolves, continuous research into DAMs will be vital. The insights gained from this study contribute to a deeper understanding of the negotiation and decision-making processes involved in selecting appropriate analysis methods, fostering a more resilient construction sector.