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Volume 4,Issue 3

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26 March 2026

Research on the Optimization of Cost Management in Engineering Full-Process Consulting

Dan Wang1*
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1 Hainan Vocational University of Science and Technology, Haikou 571126, Hainan, China
EIR 2026 , 4(3), 86–91; https://doi.org/10.18063/EIR.v4i3.1761
© 2026 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

 Along with the development of market and professional development of building, full course project consultation mode is becoming the leading tendency. As the key part of the mode, cost management decides the investment yield and the construction quality control. Starting with the development background of full process engineering consultation, the basic concepts of consultancy and cost management are given, and the outstanding problems that exist in present cost-management practices, such as inadequate machinery, lack of co-ordination, and lack of expertise are discussed, as well as the basic principles for optimizing cost management, as well as suggesting a way to improve the quality of the system, as well as training personnel. The results of this study can be used to improve the quality of cost control and to cut down the cost of the whole course of the project.

Keywords
Whole-process engineering consulting
Cost management
Whole-process control
Optimization strategies
References

[1] Zhang Q, 2024, Dynamic Management and Control Measures of Construction Cost. Architecture Engineering and Science, 5(4): 200–203.

[2] Zhan Q, 2025, Research on Engineering Quantity List Pricing and Project Cost Management of Construction Enterprises. Journal of Architectural Research and Development, 9(3): 136–142.

[3] Shen C, Meng P, Shen J, et al., 2025, A Construction Cost Estimation System Based on Case-Based Reasoning and Exponential Smoothing. Journal of Building Engineering, 113: 114120–114120.

[4] Yu S, 2025, Data Processing of Whole Process Cost Management in Building Engineering Based on AI. Intelligent Decision Technologies, 19(3): 1464–1476.

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