Analysis of Risk Problems in Construction by R Software
Thi My Dung Do1, Thanh Quang Khai Lam2
1Thi My Dung Do, Faculty of Civil Engineering, Mien Tay Construction University, 20B Pho Co Dieu street, ward 3, Vinh Long town, Vinh Long province, Vietnam.
2Thanh Quang Khai Lam, Faculty of Civil Engineering, Mien Tay Construction University, 20B Pho Co Dieu street, ward 3, Vinh Long town, Vinh Long province, Vietnam.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1872-1875 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7893068519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to the characteristics of the investment process and construction production having diversity, high specifics, the large cost for the investment in construction works, the long time, a lot of effects by many natural factors and many other characteristics, so the risk is always a potential factor that can occur and cause unpredictable consequences at any time. Especially, when conducting construction works in the market economy conditions of relevant units such as construction unit, supervision consultancy unit, design consultancy unit, investor, operators, etc., it will always face many risks. Therefore, it is required that managers have methods to determine the level of risk. Predicting the risks in construction works will help construction managers have a basis to anticipate the risks and have a plan to prevent and resolve when the problems occur. R Software is an open-source code software used for statistical and graph analysis, unlike other software that must be licensed to use, this software we can download for free from r-project.org homepage. Most business analysis techniques are supported by R. Evidence of the power of R is the award and praise from prestigious magazines or communities in the world such as New York Times, Forbes, Intelligent Enterprise, InfoWorld and The Register. In this article, the author will present some applications of R software for predicting risks in construction works.
Keywords: Risk, Construction Risk, Risk Management, Risk Analysis, Risk Prediction…
Scope of the Article: Construction Economics