APPLYING LEAN DIGITAL SOLUTION IN CONSTRUCTION MANAGEMENT: OPTIMIZATION OF REBAR USE AND COST REDUCTION
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Nazarbayev University School of Engineering and Digital Sciences
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This capstone project addresses material use inefficiencies in the construction sector of Kazakhstan by designing and implementing an optimization tool for digital rebar cutting in the example of Company A. The digital tool optimizes the combinations of rebar lengths to be used and cut by applying a genetic algorithm and its mathematical modeling to reduce material waste and procurement cost. In the case study of a school project demonstrated to test and verify the digital tool, the total waste reduction was 50.5%, while the efficiency of the used material reached up to 91.4%. A strategic plan for integrating the tool was developed, which included a phased deployment having basis on ADKAR (Awareness, Desire, Knowledge, Ability and Reinforcement) change management model, stakeholder governance via a RACI matrix (Responsible, Accountable, Consulted, Informed), Key Performance Indicators (KPIs) for monitoring, risk management plan, and training strategies for adoption. The project is aligned with the national policies and sustainability goals of the “Kazakhstan 2050” strategy as well as circular economy initiatives. Recommendations for future exploration include fostering industry innovations such as Building Information Modeling (BIM) incorporation and modular construction, extending to multi-variable applications like drywall, as well as fostering digital transformation and use of digitalization platforms through public-private partnerships. This project shows how lean digital solutions drive sustainable transformation in the construction sector of Kazakhstan.
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Berikbaikyzy, S., Temireyeva, A., Turarbek, Sh., Kaskyrbayev, A. (2025). Applying lean digital solution in construction management: optimization of rebar use and cost reduction. Nazarbayev University School of Engineering and Digital Sciences
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Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States
