Mechanical and Civil Engineering Faculty Publications

Document Type

Article

Publication Title

Scheduling as an Organizational Capability: Governance, Digital Integration and Leadership for Continuous Schedule Updating in Construction

Abstract

This study synthesizes evidence on schedule governance as an organizational capability integrating Lean practices, BIM, Digital Twin, and AI to convert scheduling into continuous, data driven decision making that links front line observations to executive risk appetite and funding choices, showing how 4D/5D BIM, clash detection, automated material takeoff, and IoT enabled twins shorten planning horizons, reduce design errors by up to 80%, improve timeline adherence by 20%–30%, and, when AI is applied, further cut delays by about 18% and procurement costs by approximately $2.5 million; a four layer Integrated Lean–Digital Framework is proposed to align strategic intent, collaborative digital integration, operational execution, and continuous improvement with KPIs such as cost variance, lead time variance, perfect order fulfilment, inventory turns, and rework, and maturity trajectories are described from reactive, document based scheduling to predictive, sensor driven governance where model integrity, data interoperability, and competency development are central. Methodological contributions include combining Markov Decision Process based risk models, Monte Carlo simulation, Bayesian and time series forecasting, and digital twin deviation metrics to produce early warning and resource adjustment recommendations. Role and governance implications identify redefined responsibilities for project managers, superintendents, engineers, estimators, and schedulers within RACI structures and cross functional decision forums to avoid local protective reflexes that create fleet underutilization. Policy and organizational recommendations emphasize standards for data exchange, anti-corruption measures, and capacity building to translate technical gains into resilient, accountable scheduling practices that improve productivity, resource optimization, and long-term operational reliability.

First Page

B. A. G. (2025). Harnessing AI for smarter construction: From cost estimation to sustainability. International Journal on Science and Technology, 16(1). https://doi.org/10.71097/ijsat.v16.i1.2701 Abbaszadegan, A., Grau, D., & Back, W. E. (2026). Instantaneous project controls as a source of innovation in design and construction: Exploring cumulative and transformative changes in complex systems development. Journal of Information Technology in Construction. https://doi.org/10.36680/j.itcon.2026.027 Abizar, M. R., & Yudoko, G. (2026). Proposed project management system for PT. GTU: A case study of piping system construction project. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 9(1). https://doi.org/10.31538/iijse.v9i1.9138 Aguilar Zavaleta, J. P. (2025). Bim management using lean construction concepts as a basis. Open Access Journal of Artificial Intelligence and Technology. https://doi.org/10.61440/oajait.2025.v1.05 Ajayi, S. O., & Oyedele, L. O. (2018). Critical design factors for minimising waste in construction projects: A structural equation modelling approach. Resources, Conservation and Recycling, 137. https://doi.org/10.1016/j.resconrec.2018.06.005 Amro, S. O. A., Naimi, S., & Ibrahim, A. A. (2026). AI-driven optimization of scheduling, risk, and sustainability in BIM-enabled construction project management. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-026-11351-6 Apostolidis, N., & Petroutsatou, K. (2019). Dynamic planning of construction site. Proceedings of the Creative Construction Conference 2019. https://doi.org/10.3311/ccc2019-076

Last Page

Silva, W. P. M., Gunatilake, S., & Fasna, M. F. F. (2021, July). OPTIMISING VALUE DURING CONSTRUCTION SCHEDULE ACCELERATION. Proceedings of the 9th World Construction Symposium 2021 on Reshaping Construction: Strategic, Structural and Cultural Transformations Towards the ’Next Normal’. https://doi.org/10.31705/wcs.2021.38 Sirait, G., Kurniyaningrum, E., Pontan, D., & Widiarso, T. (2025). Evaluation of the influence of communication aspects and leadership competence in decision making to improve performance in housing developers. Eduvest – Journal of Universal Studies, 5(12). http://eduvest.greenvest.co.id Soltan, S., & Ashrafi, M. (2025). Application of reinforcement learning for integrating project risk analysis and risk response planning: A case study on construction projects. Journal of Project Management, 10(1). https://doi.org/10.5267/j.jpm.2024.11.001 Some, S., & James, R. (2026). Project governance and performance of road construction projects in nairobi city county, kenya. Journal of Entrepreneurship &Amp; Project Management, 6(1). https://doi.org/10.70619/vol6iss1pp1-17-743 Srour, I. M. (2005). Vysochanska, I. (2026). The role of digital transformation in the strategic management system of construction production. The American Journal of Interdisciplinary Innovations and Research, 08(02). https://doi.org/10.37547/tajiir/volume08issue02-12 Wang, B. (2025). Integrated technology and system for risk and safety management in smart construction. Transactions on Engineering and Technology Research, 5. https://doi.org/10.62051/21dmgk35 Wang, S. (2025). An adaptability analysis of lean management application in prefabricated buildings. Applied and Computational Engineering, 156(1). https://doi.org/10.54254/2755 2721/2025.mh25337 Wu, C. (2026). Digital twin technology-driven dynamic monitoring and early warning system for construction progress. Frontiers in Science and Engineering, 6(4). https://doi.org/10.54691/4dsb2p71 Yang, L. (2025). A comprehensive review of BIM and deep learning integration in innovative practices for architectural digital transformation. Journal of Industrial Engineering and Applied Science, 3(3). https://doi.org/10.70393/6a69656173.333030 Yang, Y., Zhang, J., & Zhang, R. (2025). Integration of BIM and emerging information technologies: Paths and challenges for driving intelligent construction management. Transactions on Engineering and Technology Research, 5. https://doi.org/10.62051/dn50pk33

Publication Date

Spring 3-8-2026

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