scholarly journals Risk Assessment Methodology for Pit Lakes Instabilities

2022 ◽  
Vol 5 (1) ◽  
pp. 92
Author(s):  
Michael Galetakis ◽  
Vassilios Deligiorgis ◽  
Emmanuel Steiakakis ◽  
Stella Raka ◽  
Marwan Alheib

In this study we present a generic probabilistic risk assessment methodology to evaluate the risk associated with flooding process of a pit. We use the bow-tie analysis to analyze the critical events (we focus on slope failures) and the systemic risk assessment methodology to estimate the risk for the population, for the environment and for the infrastructure. Furthermore, we perform a spatial analysis of the risk by discretizing the affected area into squares, by estimating the risk in each one and finally by creating the risk map. The methodology is implemented by specialized software that has been created in a Matlab environment for the deduction of such risk assessments. The developed methodology was applied in the area of the pit lake Most in Czech Republic.

2010 ◽  
pp. 117-120
Author(s):  
Vilmos Wágner

Aim of financial statements’ risk analysis is to optimally allocate the audit resources. That optimum point can be reached, if we achieve maximum possibility of recovery of material risks. There are more than one procedures exist for researching of optimum point or risk assessment in other word, and they are needed to use even parallel. In order to take into consideration effects of risk we need to measure them somehow. At risk assessments risks are usually some kind of result of impact and possibility. Knowledge and measurement of impacts and possibilities are far not enough for assessment of certain risks. In this study I will present a possible usable risk assessment methodology for financial audit activities with using Multi Attribute Utility Theory (MAUT in the followings).


2015 ◽  
Vol 14 (6) ◽  
pp. 1399-1408 ◽  
Author(s):  
Catalin Cioaca ◽  
Cristian-George Constantinescu ◽  
Mircea Boscoianu ◽  
Ramona Lile

2018 ◽  
Author(s):  
Michael H. Azarian

Abstract As counterfeiting techniques and processes grow in sophistication, the methods needed to detect these parts must keep pace. This has the unfortunate effect of raising the costs associated with managing this risk. In order to ensure that the resources devoted to counterfeit detection are commensurate with the potential effects and likelihood of counterfeit part usage in a particular application, a risk based methodology has been adopted for testing of electrical, electronic, and electromechanical (EEE) parts by the SAE AS6171 set of standards. This paper provides an overview of the risk assessment methodology employed within AS6171 to determine the testing that should be utilized to manage the risk associated with the use of a part. A scenario is constructed as a case study to illustrate how multiple solutions exist to address the risk for a particular situation, and the choice of any specific test plan can be made on the basis of practical considerations, such as cost, time, or the availability of particular test equipment.


2012 ◽  
Author(s):  
Takeshi Shinoda ◽  
Takashi Tanaka

It is a challenge to prevent an occupational accident in any industrial activities. The aim of this study is to improve the safety and reduce the risk of occupational accidents at shipyard through developing a risk assessment. This paper describes the concept and methodology of risk assessment for occupational safety and its application. The methodology introduces an effective and useful assessment procedure to construct the database based on the past occupational accidents occurred at shipyards. Quantitative methodology is developed to understand the unsafe working conditions and environment at the shipyard by the convenient handheld to collect the data with Information Technology. Some examples of effective hazard countermeasures are suggested and a feasibility study is conducted to improve a walking environment at shipyards.


2014 ◽  
Vol 29 (2) ◽  
pp. 513-526 ◽  
Author(s):  
Limao Zhang ◽  
Xianguo Wu ◽  
Queqing Chen ◽  
Miroslaw J. Skibniewski ◽  
Jingbing Zhong

Sign in / Sign up

Export Citation Format

Share Document