Project risk assessment using the analytic hierarchy process

1991 ◽  
Vol 38 (1) ◽  
pp. 46-52 ◽  
Author(s):  
M.A. Mustafa ◽  
J.F. Al-Bahar
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Project Risk Assessment

Navigational Environmental Risk Evaluation of Breakwater Based on the Analytic Hierarchy Process

2013 ◽  
Vol 779-780 ◽  
pp. 1648-1653
Author(s):  
Chun Hui Chen ◽  
Zhan Li Jiao ◽  
Fu Cai Jiang
Keyword(s):  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Risk Indicators ◽  
Engineering Project ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
The Analytic Hierarchy Process ◽  
The Impact ◽  
Hierarchy Process ◽  
Navigation Safety

This paper introduces the analytic hierarchy process, and applies in the process of engineering project risk evaluation of navigational environment safety. This paper takes the breakwater project of a harbor as an example for analysis, through the recognition of each risk source and risk factor that the project influences on navigation safety to determine the risk indicators, and uses analytic hierarchy process to analyze the impact of various risk factors on navigation safety, thus gains the overall influence of project on navigation safety. This can be used as an auxiliary tool of engineering risk management.

Engineering of Xinjiang Non Electricity Area and the Project Risk Assessment

2013 ◽  
Vol 411-414 ◽  
pp. 2537-2541
Author(s):  
Yuan Sheng Huang ◽  
Chun Yan Jia
Keyword(s):  
Risk Assessment ◽  
Economic Development ◽  
Analytic Hierarchy Process ◽  
Daily Life ◽  
Good Choice ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
New Energy ◽  
The Stability ◽  
Hierarchy Process

By the end of 2010, Xinjiang has 2754 000 families (10753 000 population) who are not allowable to use electricity. This project is related to the economic development of these areas and is of great importance to enhance people,s welfare. It is also an important project in the Twelfth Five-Year plan. This paper supplies us two realization modes for non electricity area through electric grid extension and new energy power. It is appropriate to seek help from the main grid to extend electricity problems and ensure the stability and security of the electricity in these areas, in which population is relatively dense, or places are good prospects for the development or mineral rich. But for a considerable number of scattered or not fixed farmers and herdsmen, the utilization of new energy to realize the power of their daily life is a good choice. On this basis, this paper carried out the risk assessment of the implementation of the project by using fuzzy analytic hierarchy process.

scholarly journals Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System

2018 ◽  
Vol 10 (12) ◽  
pp. 4780 ◽  
Author(s):  
Min-Sung Kim ◽  
Eul-Bum Lee ◽  
In-Hye Jung ◽  
Douglas Alleman
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Raw Materials ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Inference System ◽  
Hierarchy Process

This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid decision-makers in the risk assessment and mitigation of overseas steel-plant projects. Through a thorough literature review, the authors identified 57 risks associated with international steel construction, operation, and transference of new technologies. Pairwise comparisons of all 57 risks by 14 subject-matter experts resulted in a relative weighting. Furthermore, to mitigate human subjectivity, vagueness, and uncertainty, a fuzzy analysis based on the findings of two case studies was performed. From these combined analyses, weighted individual risk soring resulted in the following top five most impactful international steel project risks: procurement of raw materials; design errors and omissions; conditions of raw materials; technology spill prevention plan; investment cost and poor plant availability and performance. Risk mitigation measures are also presented, and risk scores are re-assessed through the AHP-FIS analysis model depicting an overall project risk score reduction. The model presented is a useful tool for industry performing steel project risk assessments. It also provides decision-makers with a better understanding of the criticality of risks that are likely to occur on international steel projects.

scholarly journals Research on Risk Assessment of Expressway Project under PPP Mode

2020 ◽  
Vol 198 ◽  
pp. 03009
Author(s):  
Shengyue Jiang ◽  
Yanmei wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Index System ◽  
Factor Model ◽  
Critical Factor ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Advantages And Disadvantages ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

On the basis of literature survey, this paper combines qualitative research with quantitative research to evaluate the influencing factors of expressway project risk under PPP mode. This paper starts from three parts:Firstly, starting from the current situation of expressway construction projects at home and abroad through the analysis of the advantages and disadvantages of PPP mode and three characteristics, the necessity and importance of project risk management under PPP mode are obtained. Secondly, the paper elaborates the risk of PPP project of expressway identifies the corresponding risk, and initially determines the three major factors affecting the risk of expressway project under PPP mode. Finally, according to expert judgment, the most critical factor is determined and a scientific, reasonable and effective risk factor evaluation index system is established. The index system includes three first-level indicators and six second-level indicators. On this basis, the judgment matrix is constructed by using the analytic hierarchy process, so as to form the influencing factor model. Finally, taking Fuling-Fengdu Expressway in Chongqing as an example, this paper uses the analytic hierarchy process (AHP) to carry out an empirical study on the model, in order to determine the importance of different risk factors.

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