How to manage the whole process project cost scientifically and effectively

2020 ◽  
Vol 2 (2) ◽  
pp. 60-66
Author(s):  
Mei Shuangquan
Keyword(s):  
Project Cost ◽  
Whole Process

scholarly journals A Whole Process Cost Prediction System for Construction Projects Based on Improved Support Vector Machines

2022 ◽  
Vol 16 ◽  
pp. 278--286
Author(s):  
Xueqing Zhang ◽  
Jie Song ◽  
Chaolin Zha
Keyword(s):  
Support Vector Machine ◽  
Construction Projects ◽  
Construction Project ◽  
Principal Component ◽  
Support Vector ◽  
Prediction System ◽  
Cost Prediction ◽  
Project Cost ◽  
Whole Process ◽  
Process Cost

The current project cost system requires high data scale, small amount of data and large prediction deviation. In order to improve the prediction accuracy of the whole process cost of construction project, this paper designs a whole process project cost prediction system based on improved support vector machine. In the hardware part of the system, the control core adopts arm controller S3C6410 and introduces 4G communication module to analyze the actual engineering data with the support of hardware. In the software part, the whole process cost prediction index system of the construction project is established, the index is reduced by the principal component method, and the support vector machine is improved by particle swarm optimization algorithm to realize the whole process cost prediction of the project. The system function test results show that the average prediction deviation of the designed system is 4.11%, the average prediction deviation of the cost prediction system is 3.05%, and the average prediction deviation of the system is 1.57%.

Research on Materials for Construction Projects Cost Control – Taking a Project in Shijiazhuang as an Example

2013 ◽  
Vol 438-439 ◽  
pp. 1846-1850
Author(s):  
Xiang Mei Yu ◽  
Dong Yang Geng ◽  
Zhen Bin Xie
Keyword(s):  
Construction Projects ◽  
Cost Control ◽  
Cost Management ◽  
Construction Project ◽  
Material Management ◽  
Project Cost ◽  
Whole Process ◽  
Material Costs

Through referring to practical projects and analyzing the component proportion ratio of project cost, this paper comes up with the idea that whole process of construction project is all around material management as the key of cost control, puts forward the measures to reduce material costs, and offers reference to cost management of construction project.

Study on the Establishment of Integration Cost Dynamic Model of Construction Project

2012 ◽  
Vol 446-449 ◽  
pp. 171-174
Author(s):  
Qi Yuan Yu ◽  
Hao Yue Qiu
Keyword(s):  
Dynamic Model ◽  
Dynamic Control ◽  
Construction Project ◽  
Construction Process ◽  
Project Cost ◽  
Whole Process ◽  
Construction Project Cost ◽  
Model Computer ◽  
The Cost ◽  
Construction Practice

Based on the study of the influencing law of decision point to cost in the construction process, this paper analyzes the relevance of decision procedure and project cost, establishes integration cost dynamic model of construction project. Based on the model, computer aided decision system can be developed for the cost control of construction project. If the system is applied in the construction practice, overall, whole process and dynamic control of construction project cost can be implemented.

scholarly journals Research on the Construction Method of Intelligent Prediction and Analysis Model for the Whole Process of Power Grid Project Cost

2020 ◽  
Vol 213 ◽  
pp. 03029
Author(s):  
Zuobin Liang ◽  
Shan Gao ◽  
Qing Wang ◽  
Yong Dai ◽  
Peng Rong ◽  
...  
Keyword(s):  
Investment Decision ◽  
Power Grid ◽  
Analysis Model ◽  
Project Cost ◽  
Management Level ◽  
Whole Process ◽  
Management Objectives ◽  
Investment Decision Making ◽  
Investment Process ◽  
Control And Management

The government’s supervision of power grid enterprises will gradually focus on the transmission and distribution price, and the investment and income will be more strictly supervised. Under the new management requirements, the company must pay more attention to the compliance of the investment process, further strengthen the investment risk control, put an end to inefficient or invalid investment, strengthen the all-round and whole process supervision, and scientifically and accurately determine and carry out effective project cost control and management. It is the key to achieve project management objectives, and also an important measure of investment fine management and control. This paper takes historical cost data as the research object, constructs the whole process intelligent prediction and analysis model of power grid project cost, assists investment decision-making, reduces the balance rate, and improves the efficiency and efficiency of the company’s investment and lean management level.

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