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Cost Early-Warning Model System of Large-Scale Construction Project
1School of Resources and Architectural Engineering, Gannan University of Science and Technology, Ganzhou 341000, Jiangxi, China.
This study introduces an earned value management (EVM) approach to enhance cost control in China's construction industry. It develops a cost early-warning system to mitigate risks like overruns and delays in projects.
Area of Science:
- Construction Management
- Cost Engineering
- Project Management
Background:
- China's construction sector faces challenges with high costs, efficiency issues, and management inefficiencies.
- Traditional management methods often lead to cost overruns and project delays, hindering effective cost control.
- There is a need for improved cost management strategies within construction enterprises.
Purpose of the Study:
- To analyze the applicability of Earned Value Management (EVM) in construction cost management.
- To develop a practical cost early-warning system tailored for construction projects.
- To enhance the cost management capabilities of construction companies.
Main Methods:
- Summarizing construction project characteristics and cost classifications.
- Analyzing the foundational principles of EVM for construction cost control.
- Developing a cost early-warning system, including organizational structure, operation platform, and early-warning model, using Company A as a case study.
Main Results:
- The study provides a framework for integrating EVM with cost management in construction.
- A cost early-warning system was designed and conceptualized for practical application.
- The proposed system aims to improve the identification and mitigation of cost risks.
Conclusions:
- Earned Value Management offers a robust foundation for improving cost control in construction.
- The developed cost early-warning system can significantly enhance the cost management level of construction enterprises.
- Implementing such systems is crucial for addressing the inherent cost risks in construction projects.
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