scholarly journals Regions of the zone of influence of the Great Silk Road and the Tea Road: strategic directions for the development of economic potential

2021 ◽  
Vol 22 (2) ◽  
pp. 102-112
Author(s):  
Natalia Lubsanova ◽  

In the current conditions of economic crises, emerging threats, and risks, there is a need to consider the risks of changes in the economic potential of regions when determining priorities for the development of economic potential. The author hasdeveloped an algorithm for substantiating the strategic directions of the development of the economic potential of the regions based on dynamic risk assessment and monitoring of the state of the potential. The proposed methodology was tested in 28 regions ofRussia, China, Mongolia, and Kazakhstan of the zone of influence of the Great Silk Road and the Tea Road. The developed methodological approaches to determining the priorities for the development of the economic potential of the regions allow us to justify the strategic directions of growth, considering the risks

Author(s):  
Kazem Sarvestani ◽  
Omran Ahmadi ◽  
Seyed Bagher Mortazavi ◽  
Hasan Asilian Mahabadi

2021 ◽  
Author(s):  
Alfredo Maria Gravagnuolo ◽  
Layla Faqih ◽  
Cara Cronshaw ◽  
Jackie Wynn ◽  
Paul Klapper ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Han Gao ◽  
Yili Duo ◽  
Tie Sun ◽  
Xuefeng Yang

Gasifier system is one of the important components of coal gasification device. The technical characteristics of this system mainly lie in the following facts as huge technical scale and high complexity, and there is a dynamic correlation between the failure modes of gasification equipment. Traditional safety analysis methods such as fault tree and bow-tie diagram suffer from drawbacks as being static and ineffective in handling uncertainty, which hamper their application to risk analysis of process systems. This paper presents a newly developed model based on Dynamic Bow-Tie (DBT) and Dynamic Bayesian network (DBN) for quantitative dynamic risk assessment of gasifier system. In the meantime, in order to cope with the uncertainty of the failure data, fuzzy numbers and the defuzzification method are used to transform the experts' language into the failure rates. The results showed that dynamic risk assessment can solve the difficulties dealing with complex dynamic systems which have process variables and characteristics such as multiple, failure correlations, and noncoherence. And it also has important theoretical significance and application value for coal chemical industry to improve the scientificity of risk assessment.


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