An integrated framework that combines statistical analysis, machine learning, and explainable artificial intelligence to identify, rank, and model project-risk factors in Iraqi transport infrastructure supports transparent early-warning assessment of financial, procurement, design, site, and management risks.
Schedule delays remain a recurring concern in Philippine vertical construction projects. In the projects examined, delays were associated with design revisions, vendor-related problems, procurement activities, site conditions, and external factors such as adverse weather. Conventional project monitoring methods are lar...
The performance of construction projects is a key factor in the success of modern infrastructure development, particularly in achieving cost, quality, and schedule targets. Road improvement projects at PT X face operational challenges, including delays in the delivery of prefabricated materials and extreme weather cond...
There are usually cost and time issues, and problems with quality, with big infrastructure projects. This paper analyses the impact of governance and leadership capacity, technical and organizational capability, stakeholder alignment, quality of risk management, and maturity of schedule management on operational projec...
Construction project delays can adversely affect cost, productivity, and timely completion. This study compares the performance of the Earned Value Method (EVM), Earned Schedule Method (ESM), and Earned Duration Method (EDM) in detecting schedule delays in the Educational Building Project at Universitas Negeri Surabaya...
Industrial construction projects involve complex interactions among uncertainty, risk, schedule, and cost, motivating the development of advanced analytical and decision-support methodologies. This study systematically reviews methodological approaches to risk assessment and performance management in industrial constru...
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