Title: Design of construction project management technology based on project schedule cost model and swarm intelligence algorithm

Authors: Hua Tian

Addresses: School of Building Management, Chongqing Metropolitan College of Science and Technology, Chongqing 402167, China

Abstract: To solve the problems of cost estimation and schedule control in project management, a project management technology design based on project schedule cost model and improved particle swarm algorithm is proposed. This study uses quantitative field surveys and structural equation modelling analysis methods, combined with empirical analysis of 20 repeated experiments, to verify the effectiveness of the proposed method. The results showed that the improved particle swarm algorithm improved accuracy by 30.48% compared to the standard particle swarm, shortened project cycles by 15.2%, and reduced resource waste rate by 31.4%. In addition, the risk response time has been accelerated by 50.0%, the engineering quality qualification rate has increased by 7.4%, the progress tracking error reduced to 60.0%, and the decision-making time shortened to 42.7%. The research model not only enriches the optimisation theory of project management, but also has practical value in improving the intelligence level of project management and enhancing cost control capabilities.

Keywords: project management; cost estimation; progress control; particle swarm optimisation algorithm; intelligentisation; empirical analysis.

DOI: 10.1504/IJADS.2025.149563

International Journal of Applied Decision Sciences, 2025 Vol.18 No.6, pp.742 - 760

Received: 12 Sep 2024
Accepted: 02 Dec 2024
Published online: 07 Nov 2025 *

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