Quantifying the ROI of Proactive Lean Workflows in High-Density Urban Sub-Structure Projects

Abstract

The study evaluates the return on investment (ROI) benefits of transitioning from a traditional reactive construction workflow to a proactive hybrid geotechnical resilience workflow for high-density urban infrastructure projects. This paper addressed the complexities often seen in dense-urban environments characterised by high-moisture basins, hydraulic instability, and substructure compromised by environmental unpredictability, often leading to systemic delays, soil collapse, and material wastage. These complexities are addressed by implementing lean construction principles that focus on mitigating Muda (waste), Mura (unevenness), and Muri (overburden), and on enhancing the project's predictability and structural safety. The lean strategies to overcome the structural difficulties involved establishing a responsive feedback loop. Firstly, by achieving precise excavation using hydraulic machinery with 3D-GPS guidance kits synchronised with Digital Terrain Modelling (DTM). This helped eliminate the 10% standard manual over-dig typically encountered in traditional depth control. Thereby optimising excavation volumes and reducing redundant soil hauling. Secondly, a real-time monitoring network comprising vibrating-wire piezometers and inclinometers was used to monitor pore-water pressure and soil displacement. This sensor-driven approach enabled a Jidoka (built-in quality) protocol, in which automated alerts for pressure spikes triggered immediate stabilisation measures that helped prevent catastrophic failures that historically stall urban developments. In the study, a comparative performance analysis of a traditional workflow and a lean-integrated workflow demonstrates that the proactive lean-integrated workflow results in a quantifiable reduction in the construction timeline and labour volatility. Specifically, the excavation and the shoring durations were reduced by up to 40% through data-driven execution and Target Value Design (TVD). The findings validate that incorporating digital intelligence during the substructure phases helps achieve a net fiscal recovery of over ₹2.17 crores by preventing rework and resource wastage. By providing a scalable model for geotechnical resilience, this study helps optimise operations and improve ROI for projects in complex urban settings.