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August 15, 2025BuildingsOpen Access

Bridging the Construction Productivity Gap—A Hierarchical Framework for the Age of Automation, Robotics, and AI

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Authors

MBMichael Max BühlerHTWG Hochschule Konstanz - Technik, Wirtschaft und GestaltungKNKonrad NübelTechnical University of MunichTJThorsten JelinekChinese Academy of Sciences

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Implication

This framework improves productivity metrics in construction through automation and real-time monitoring, suggesting significant sector-wide gains.

Key Points

  • The framework significantly enhances overall productivity metrics in construction, integrating multiple performance layers.
  • Key indicators include input efficiency, output effectiveness, and First-Time Quality, which are essential for productivity assessment.
  • Based on empirical validation, the framework uses real-time sensing to automate data capture and detect productivity deviations.
  • The approach highlights the role of emerging technologies in achieving scalable performance improvements across construction trades.

Cite This Study

Bühler et al. (2025) studied this question.

synapsesocial.com/papers/68af4ec0ad7bf08b1ead7e2chttps://doi.org/10.3390/buildings15162899
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