Research on Resource Management and Cost Control in Hotel Renovation Projects Based on a Personnel-Equipment Aggregation System
DOI: https://doi.org/10.62517/jmsd.202612109
Author(s)
Hao Xu, Shu Ni
Affiliation(s)
Anhui Jiaokong Construction Engineering Group Co., Ltd., Hefei, Anhui, China
Abstract
With the transformation and development of the construction industry, the efficient management of key resources (labour, materials, and machinery) in construction projects has become central to ensuring smooth project progression. Traditional resource management approaches often face challenges such as data lag, inaccurate information, and inefficient resource allocation, particularly in large-scale, complex projects. To address these issues, information-based management has increasingly been applied to construction projects. Among these, the labour-material-machinery aggregation management system, as an advanced resource management method, has gained widespread adoption in projects.This study examines the application effectiveness of the labour-equipment-materials aggregation management system through the case of the North Garden Renovation and Upgrade Project for Hefei's DXL Hotel. By statistically analysing the utilisation of labour, machinery, and materials, it details resource usage data and cost distribution. Findings indicate that implementing this system enables project teams to monitor resource deployment in real time, optimise resource scheduling, reduce waste, and achieve dual improvements in cost control and schedule management.Specifically, real-time data collection and analysis of labour, machinery, and materials substantially enhanced the precision and timeliness of resource management. The system enabled the project team to adjust staffing levels more effectively, optimise equipment utilisation, and procure materials rationally, thereby significantly reducing resource wastage and improving overall project management efficiency and economic viability. The study also analysed cost fluctuations, illustrating the cost distribution of different resources within the project, providing a basis for optimising resource management and cost control in subsequent projects.
Keywords
Labour-Capital-Equipment Aggregation; Refurbishment Projects; Data Analysis; Cost Control.
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