Application of the analytical hierarchy process in a sports events risk assessment

2012 ◽  
Author(s):  
Deli Huo ◽  
Xuyan Mao
Keyword(s):  
Risk Assessment ◽  
Analytical Hierarchy Process ◽  
Sports Events ◽  
Hierarchy Process

scholarly journals Vulnerability Assessment of Peoples Exposed to Landslides in Panchase of Nepal using Analytical Hierarchy Process

2020 ◽  
Vol 9 (2) ◽  
pp. 81-103
Author(s):  
Padam Bahadur Budha ◽  
Pawan Rai ◽  
Prem Katel ◽  
Anu Khadka
Keyword(s):  
Risk Assessment ◽  
Financial Institutions ◽  
Analytical Hierarchy Process ◽  
Disaster Risk ◽  
Mountainous Areas ◽  
Affected Area ◽  
Central Nepal ◽  
Hierarchy Process ◽  
Vulnerability Score ◽  
Very High

The occurrence of landslides in mountainous areas of Nepal is recurrent phenomena and this can be disastrous if occurred within human settlements. Proper research is required to manage and reduce the risks of the disaster in places where landslides had occurred frequently. In risk assessment estimation of vulnerability is one major component. This research was aimed to generate information on the vulnerability of people in the Panchase area of central Nepal. The method of analytical hierarchy process was used to define the weightage to be assigned for 4 factors and 26 indicators used in the research. 377 households were surveyed with a questionnaire designed to collect information on those indicators. The households sampled for the survey were made sure that they were near or around the landslide affected area. The response for each indicator was converted into scores which when summed up yielded the vulnerability score. This score for each household was used to categorize households into five levels of vulnerability from very low, low, moderate, high, to very high. The numbers of households in each category were 16, 92, 191, 75, and 3 respectively. Environmental and economic indicators were inflicting higher vulnerability in this research location. Remoteness and lesser number of facilities and/or services, lower numbers of governmental offices, absence of banking and financial institutions, lesser preferences for insurances and savings, degraded natural water sources were major determinants of higher vulnerability in Panchase. These indicators should be prioritized during disaster risk management in Panchase.

scholarly journals Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

Agriculture ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 504
Author(s):  
Peyman Zandi ◽  
Mohammad Rahmani ◽  
Mojtaba Khanian ◽  
Amir Mosavi
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Failure Modes ◽  
Fuzzy Topsis ◽  
Control Measures ◽  
Management Tool ◽  
Agricultural Risk ◽  
Hierarchy Process

Failure mode and effects analysis (FMEA) is a popular technique in reliability analyses. In a typical FMEA, there are three risk factors for each failure modes: Severity (S), occurrence (O), and detectability (D). These will be included in calculating a risk priority number (RPN) multiplying the three aforementioned factors. The literature review reveals some noticeable efforts to overcome the shortcomings of the traditional FMEA. The objective of this paper is to extend the application of FMEA to risk management for agricultural projects. For this aim, the factor of severity in traditional FMEA is broken down into three sub-factors that include severity on cost, the severity on time, and severity on the quality of the project. Moreover, in this study, a fuzzy technique for order preference by similarity to ideal solution (TOPSIS) integrated with a fuzzy analytical hierarchy process (AHP) was used to address the limitations of the traditional FMEA. A sensitivity analysis was done by weighing the risk assessment factors. The results confirm the capability of this Hybrid-FMEA in addressing several drawbacks of the traditional FMEA application. The risk assessment factors changed the risk priority between the different projects by affecting the weights. The risk of water and energy supplies and climate fluctuations and pests were the most critical risk in agricultural projects. Risk control measures should be applied according to the severity of each risk. Some of this research’s contributions can be abstracted as identifying and classifying the risks of investment in agricultural projects and implementing the extended FMEA and multicriteria decision-making methods for analyzing the risks in the agriculture domain for the first time. As a management tool, the proposed model can be used in similar fields for risk management of various investment projects.

Power Transformer Life Analysis Based on Risk Assessment

2014 ◽  
Vol 672-674 ◽  
pp. 1151-1154 ◽  
Author(s):  
Yi Yun Sun ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Qing Shan Xu
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Analytical Hierarchy Process ◽  
Power Transformer ◽  
Fault Tree ◽  
Fuzzy Analytical Hierarchy Process ◽  
Full Life Cycle ◽  
Life Analysis ◽  
Full Life ◽  
Hierarchy Process

In order to grasp the state of full life cycle of the power transformer, A new method for power transformer life analysis based on risk assessment is proposed in this paper. Firstly power transformer risk assessment is conducted and fault tree is established accordingly to make the complex transformer faults system subdivide into various kinds of basic types directly; Secondly, the Fuzzy Analytical Hierarchy Process (FAHP) is designed to analyze the fault tree, so the complex system of transformer can be quantitatively described and the reliability of transformer can be obtained; Finally, transformer aging model is established to research the change rules of the transformer runnung state and determine the duration that the transformer stays in each stages of life. In addition, the application result shows the feasibility and effectiveness of the method above.

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