Risk assessment in open cast mining — An application of Yager’s methodology for ordinal multiobjective decisions based on fuzzy sets

2003 ◽  
Vol 20 (3) ◽  
pp. 311-319 ◽  
Author(s):  
Prabir Kumar Bandyopadhyay ◽  
Subash Chandra Roy ◽  
Satabdi N. Sen
Geografie ◽  
1989 ◽  
Vol 94 (1) ◽  
pp. 19-30
Author(s):  
Galina Kruglová ◽  
Jan Vaněk

The paper treats of harmful influences of the industrial sprawl, of ecological processes and phenomena interfering with socio-economic functions of the North Bohemian landscape. Great attention has been paid to special ecological problems related to open-cast mining, brown-coal preparation, uranium-ore mining, development of power stations, chemistry, land other industrial branches. According to the degree of anthropogenic influences owing to complex multi-line land use and conforming with ecological aspects, three types of regions have defined in the North Bohemian region.


2018 ◽  
Vol 7 (2.23) ◽  
pp. 148
Author(s):  
Aleksander Sładkowski ◽  
Arkadiy Yudin ◽  
Anatoliy Komissarov ◽  
Yuliya Lagunova ◽  
Madinur Akhmetova ◽  
...  

The paper considers a new design of the movable vibrating screen feeder KVG-1PS designed for the reception and transfer of rocks and ores in conveyor complexes of cyclic-and-continuous technology in open-cast mining. It contains the results of design analysis of the new mining machine. The paper represents the technique of establishing the main parameters and the calculation of the movable vibrating feeder on the basis of a cascade shock-absorbing system at the representation of the machine within a three-mass oscillatory system. 


2019 ◽  
Vol 33 (15) ◽  
pp. 4997-5014 ◽  
Author(s):  
Min Li ◽  
Tianyuan Zheng ◽  
Jian Zhang ◽  
Yunhai Fang ◽  
Jiang Liu ◽  
...  

2014 ◽  
Vol 22 (2) ◽  
pp. 161-180 ◽  
Author(s):  
Osman Taylan

Purpose – IT projects carry high risk of failure due to the existence of great obstacles during the planning, application and development phase. The projects' risks are multi-dimensional, and they must be assessed by multi-attribute decision-making methods. The purpose of this article is to provide analytic tools to evaluate the learning organization's IT project risks under incomplete and vague information. It was also aimed to place the risk in a proper category and predict the level of it in advance to develop strategies to counteract the high-risk factors. Design/methodology/approach – In this study, three mutual approaches were used to analyze the organizations IT applications. These are enterprise analysis for determination of information requirements of organization, payback method for IT project financial analysis and risk assessment using fuzzy sets and systems. The developed fuzzy model is an expert system which can predict the category of risk for IT projects in learning organizations. Findings – This study revealed that the greatest obstacles to IT project success were the lack of organizational learning, resistance to change, etc. User involvement limitation was found to be also one of the common reasons of IT project failure. The information sharing policy was determined to increase productivity of employees in offices and to decide the creators and the users of knowledge. Learning is a continuous process for organizational transformation. Individual and organizational learning were searched to minimize the level of risks factors and learning culture. IT project risks were categorized properly using fuzzy sets and systems to reduce or even eliminate high risks. Originality/value – The paper is original and gives the first such work for industry.


Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 916-937
Author(s):  
Chao Ren ◽  
Xiaoxing Liu ◽  
Zongqing Zhang

Purpose The purpose of this paper is to develop a risk evaluation method for the industrial network under high uncertain environment. Design/methodology/approach This paper introduces an extended safety and critical effect analysis (SCEA) method, which takes the weight of each industry in a network into risk assessment. Furthermore, expert experience and fuzzy logic are introduced for the evaluation of other parameters. Findings The proposed approach not only develops weight as the fifth parameter in quantitative risk assessment but also applies the interval type-2 fuzzy sets to depict the uncertainty in the risk evaluation process. The risk rating of each parameter excluding weight is determined by using the interval type-2 fuzzy numbers. The risk magnitude of each industry in the network is quantified by the extended SCEA method. Research limitations/implications There is less study in quantitative risk assessment in the industrial network. Additionally, fuzzy logic and expert experience are expressed in the presented approach. Moreover, different parameters can be determined by different weights in network risk assessment in the future study. Originality/value The extended SCEA method presents a new way to measure risk magnitude for industrial networks. The industrial network is developed in risk quantification by assessing weights of nodes as a parameter into the extended SCEA. The interval type-2 fuzzy number is introduced to model the uncertainty of risk assessment and to express the risk evaluation information from experts.


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