Study on Forecast of Engineering Project Cost Using Single Regression Method

2013 ◽  
Vol 357-360 ◽  
pp. 2610-2613
Author(s):  
Wen Qiong Li ◽  
Fei Li ◽  
Yue Xiang Yang

In recent years, construction industry develops rapidly with infrastructure investment continuing to increase. Project cost management is demanded increasingly in engineering project management, and cost forecast is a vital part that enterprise strengthen overall cost management and play an important role in engineering project management increasingly. This paper uses single regression method to forecast engineering project cost, in order to make project cost management more scientific and effective.

2011 ◽  
Vol 94-96 ◽  
pp. 2238-2242
Author(s):  
Yan Qun Tang ◽  
Wei Zeng

Basing on the analysis of problems existing in the comprehensive decision-making and balanced optimizing of project programs, the writer has introduced the method of physical planning to solve the problems of comprehensive decision-making and optimizing in the quality of the project management – time limit for a project - cost, and established the quality - time limit for a project- cost comprehensive evaluation and decision model as well as the quality - time limit for a project - cost optimization model. The proposed method has been proved effective through the cases of highway engineering project management.


2015 ◽  
Vol 719-720 ◽  
pp. 181-186
Author(s):  
Ya Ting Li

As the external environment of the international construction project has become increasingly complex, risk management is emphasized in the project management. BIM(Building Information Model) has bring change to the Construction Industry in China. It has contributed to the schedule and cost management. However, BIM is not widely used to solve the problem of risk management. This thesis cites the possibility about BIM application to risk management and evaluates the progress it may bring to the process of risk management. Furthermore, a BIM-Risk System is proposed for Chinese international contractors to solve some major risks the international contractors may face. By using this system, the level of the project risk management will significantly improve. Then the barriers and the potential problems of applying BIM to risk management in China are analyzed. The BIM application to risk management has great value to be further researched.


2021 ◽  
Author(s):  
Nicholas Dacre ◽  
PK Senyo ◽  
David Reynolds

Engineering managers are progressively tasked with leveraging digital technologies and innovations which have yet to be fully developed, to seek out opportunities and challenges in complex project contexts. However, there is a disparity between knowledge gained from engineering development programmes, and the rapidly changing landscape of modern project practice, which requires professionals to effectively engage and deploy relevant agile digital skills in practice. For example, complex engineering projects increasingly employ dynamic digital technologies such as Artificial Intelligence (AI), Big Data, Augmented and Virtual Reality (AR / VR), 3D Printing, and Digital Twins, which require managers to quickly adapt to changing constraints through agile digital skills. Therefore, this paper seeks to focus on exploring the role of engineering project management programmes in developing knowledge and agile digital skills relevant for future project practice. Through an outline review of project management development programmes, this research paper suggests that their inherent value for engineering project managers, is largely dependent on a combination of applied research, engagement, and agile digital skills development for future practice.


2014 ◽  
Vol 584-586 ◽  
pp. 2577-2580
Author(s):  
Jin Xian Zhao ◽  
Long Li ◽  
Min Liu

This paper establish the index system of metro project which included four control targets of the engineering project management that is quality, cost, construction period, safety into integrated dynamic system. We realizes the PCA dimension of the 17indexes in the set and gets four principal components by using PCA of multivariate statistical methods. According to the feature vector of four main components, the main ingredients are classified and reorganized. By comparing the scores ranking of four redefined main components and evaluation scores ranking, we conduct integrated dynamic analysis of metro project objectives. Finally, the results of case study shows the conclusion is in line with the possible situations of the metro project management.


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