Revolutionizing project control: leveraging control theory for integrated cost, schedule, and risk management

Bibliographic Details
Title: Revolutionizing project control: leveraging control theory for integrated cost, schedule, and risk management
Authors: Brahim Seddiki
Source: Discover Civil Engineering, Vol 2, Iss 1, Pp 1-35 (2025)
Publisher Information: Springer, 2025.
Publication Year: 2025
Collection: LCC:Engineering (General). Civil engineering (General)
Subject Terms: Engineering (General). Civil engineering (General), TA1-2040
More Details: Abstract This research introduces a novel approach to construction engineering and project management that addresses the limitations of traditional methods applied to cost and schedule estimate, risk management, which often rely on subjective assessments and lack a rigorous mathematical foundation. By leveraging control theory principles, we propose a quantitative framework that provides a more objective and data-driven approach to project control, estimation, and risk management. The proposed framework utilizes a second-order linear differential equation model to represent the complex dynamics of project variables, including cost, schedule, and risk. Through the application of state-space models and transfer functions in the Laplace domain, we can systematically analyze the impact of project inputs on outcomes. Our findings demonstrate the proposed project control governing equation approach offers several advantages over existing practices. It enables proactive identification of potential disruptions, facilitates timely decision-making, and provides a more robust foundation for risk assessment. By incorporating data-driven insights into the project management process, our framework can help organizations improve project efficiency, reduce costs, and enhance overall project success. In conclusion, this research offers a valuable contribution to the field of construction engineering and project management by establishing a governing mathematical equation that provides a more scientific and quantitative approach to decision-making. The proposed framework has the potential to transform the way projects are managed, leading to improved outcomes and increased organizational performance.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2948-1546
Relation: https://doaj.org/toc/2948-1546
DOI: 10.1007/s44290-024-00158-9
Access URL: https://doaj.org/article/2b3a69bb2f05447db2e634ade3453fe4
Accession Number: edsdoj.2b3a69bb2f05447db2e634ade3453fe4
Database: Directory of Open Access Journals
More Details
ISSN:29481546
DOI:10.1007/s44290-024-00158-9
Published in:Discover Civil Engineering
Language:English