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Intelligent system in the cost control of commercial complex projects: Data-driven optimization method.

Shiming Wang¹, Yifei Li¹, Debao Yao¹

¹School of Business Administration, Liaoning Technical University, Huludao, Liaoning, China.

|June 18, 2026

Summary

This summary is machine-generated.

This study introduces a data-driven approach using value engineering (VE) and Fuzzy Analytic Hierarchy Process (FAHP) to optimize commercial complex project costs. The integrated model achieved a 2.87% cost reduction in a real-world case study.

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Area of Science:

Construction Management
Engineering Economics
Operations Research

Background:

Commercial complex development involves large-scale operations and significant cost management challenges.
Traditional cost control methods often struggle with the complexity inherent in these projects.
Optimizing cost efficiency is crucial for the financial success of commercial developments.

Purpose of the Study:

To propose a data-driven intelligent approach for optimizing cost management in commercial complex projects.
To integrate value engineering (VE) principles, specifically Function Analysis System Technique (FAST), into construction cost control.
To develop and validate a novel model combining VE with Fuzzy Analytic Hierarchy Process (FAHP) for enhanced cost optimization.

Main Methods:

The study integrates Value Engineering (VE) with a Fuzzy Analytic Hierarchy Process (FAHP) model.
Function Analysis System Technique (FAST) is employed to define VE study objectives and functional coefficients.
Systematic cost and value coefficient calculations enable real-time monitoring and post-implementation reviews.

Main Results:

The proposed VE-FAHP model was applied to an existing commercial complex project.
A comparative analysis demonstrated a cost reduction from 74,886,333.3 yuan to 72,740,121.5 yuan.
The optimized approach achieved a significant 2.87% reduction in total project costs.

Conclusions:

The integrated VE-FAHP model offers an effective data-driven solution for optimizing commercial complex project costs.
This approach helps avoid irrational construction expenditures and supports continuous project optimization.
The methodology provides a valuable tool for improving cost management efficiency in large-scale construction.