OPTIMISING TIME AND RESOURCES IN CONSTRUCTION MANAGEMENT: EFFECTIVE PLANNING AND TASK ALLOCATION STRATEGIES

Abstract

INTRODUCTION. The increasing complexity of construction projects and growing competitive pressure in the industry have created a critical need to enhance planning methods and resour ce allocation in construction management.

RESEARCH HYPOTHESIS. The introduction of integrated digital technologies, such as digital twins, artificial intelligence, the Internet of Things, and advanced planning methods, will significantly increase the efficiency of construction process planning, reduce costs and project execution time, while reducing risks and improving forecasting accuracy.

THE AIM The purpose of this study was to develop a methodology for improving the efficiency of construction process planning through the integration of digital technologies and algorithmic optimisation methods.

METHODS. The study was based on an analysis of the implementation of digital planning methods in seven leading international construction companies in 2023–2024, using data from technical documentation for deployed systems and financial statements.

FINDINGS. The adoption of integrated digital platforms reduced planning time by 45–52% and minimised equipment downtime by 38–40%. The use of graph databases optimised the sequencing of construction operations, while predictive analytics improved forecasting accuracy for work deadlines to 92%. The integration of artificial intelligence (AI) and Internet of Things (IoT) technologies lowered logistics costs by 25–33% and reduced modelling (BIM) technologies, combined with collaborative planning systems, increased productivity by 25% and reduced schedule deviations by 32%. Furthermore, the development of a digital twin system enabled process modelling at the planning stage, facilitating early detection of potential issues and reducing error correction costs by 28%. The application of predictive analytics allowed a shift from reactive to proactive resource management through risk forecasting and automatic plan adjustments.

CONCLUSION. The proposed phased methodology for digital solution implementation, incorporating a technology audit and personnel development programmes, can be applied by construction companies of various sizes to optimise planning processes and enhance operational efficiency.

KEYWORDS: digital twins; intelligent systems; graph databases; manufacturing processes; collaborative planning.