Models of evaluating efficiency and risks on integration of cloud-base IT-services of the machine-building enterprise: a system approach

Разумников, С. В.; Kurmanbay, A.

doi:10.1088/1757-899x/124/1/012089

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…Since mining is a classical engineering specialty, the curricula in this field are mostly standard and not very diverse [7][8][9][10]. Colorado Universities of Australia, where many vacancies are available for mountain engineers such as the University of New South Wales and the University of Queensland, offer advanced programs that can combine the study of mining engineering and the study of other disciplines such as economics, commerce, business, physics, computer software, chemistry, climate dynamics, geology, biotechnology, Earth sciences, anthropology and archaeology [11][12][13].…”

Section: Number Of Studentsmentioning

confidence: 99%

“…Let A be a finite set of alternatives that are evaluated by n criteria. In our task of building an aggregated rating of mountain engineers, the alternatives will be specific graduate students of the race specialty [8].…”

Section: Non-compensatory Model Of Assessment Of Readiness Of Mining mentioning

confidence: 99%

“…The worst under consideration is Student 4 with a value of -51. Please note that students 8 and 3 scored the same number of points, respectively they divide the 5th place in the rating, as well as students 1 and 6 divide the 7th place [8].…”

Section: Assessment Criteriamentioning

confidence: 99%

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Professional training of mining engineers

et al. 2020

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Nowadays, the solution of the problem of training mining engineers in the environment of innovation development is rather complicated and multifaceted. It involves determining the essence and content of the engineer’s professional activity; the need to study the specifics of the training of a mining engineer; the requirements for training mining engineers in innovative development. It is also connected with evaluation of students’ readiness level in the specialty 21.05.04 «Mining», identifying ways to increase the level of readiness of mining engineers for professional activity. The factors influencing the results of the training of mining engineers are identified here, as well as foreign experience in the education and training of mining engineers. Besides, noncompensatory model of assessment of readiness of mining engineers for professional activity by method of threshold aggregation with example of building rating on the basis of this model is being developed.

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Section: Number Of Studentsmentioning

confidence: 99%

Section: Non-compensatory Model Of Assessment Of Readiness Of Mining mentioning

confidence: 99%

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Professional training of mining engineers

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“…This issue is relevant for businesses of all branches and levels [8]. To solve a problem of this kind a system approach is to be applied, as well as method of system analysis.…”

Section: System Approach To Assessment Of Efficiency and Risks Causedmentioning

confidence: 99%

“…Then we calculate criteria and indices of efficiency and risks [8,9] according to suggested models ( Fig. 1).…”

Section: System Approach To Assessment Of Efficiency and Risks Causedmentioning

confidence: 99%

Decision Support Models When Choosing Cloud-base IT-services for Enterprise Deployment

Разумников¹

2018

KEG

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Developing an IT-strategy of cloud deployment is a complex issue since even the stage of its formation necessitates revealing what applications will be the best possible to meet the requirements of a company business-strategy, evaluate reliability and safety of cloud providers and analyze staff satisfaction. The present paper suggests a system approach to evaluate the effectiveness and risks resulted from the integration of cloud-based services in machine-building enterprise. This approach makes it possible to estimate a set of enterprise IT applications and choose the applications to be migrated to the cloud with regard to specific business requirements, technological strategy and willingness to risk. A system of criteria as well as integrated model to assess cloud deployment effectiveness is offered.

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Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels

Разумников

2022

Lecture Notes in Electrical Engineering

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Models of evaluating efficiency and risks on integration of cloud-base IT-services of the machine-building enterprise: a system approach

Cited by 7 publications

References 7 publications

Professional training of mining engineers

Professional training of mining engineers

Decision Support Models When Choosing Cloud-base IT-services for Enterprise Deployment

Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels

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