In a joint study, the Vienna University of Technology, the Montanuniversität Leoben, and the Johannes Kepler University Linz analyzed the application of statistical data analysis and process mining in conventional tunnel construction. The researchers developed methods for the systematic evaluation of shift reports and construction site documentation in order to visualize construction processes and identify deviations from the planned activity sequences in tunneling.

A case study with real construction data shows that statistical methods and process mining can improve the monitoring of excavation rates, activity durations, and resource utilization. The case study revealed that the actual excavation performance was on average 20% above the tender estimates. The analysis of digitized shift reports also made it possible to identify documentation errors and quantify downtime.

The study illustrates how digital documentation and business intelligence methods can complement traditional paper- and spreadsheet-based analysis methods in tunnel construction.
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