Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing
Information and communication tools and technologies are rapidly changing daily lives of people and business processes in economic activity primarily in the field of logistics. In particular, the innovative nature of these transformations leads to the emergence of new logistical risks, changing...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PH "INZHEK"
2016-11-01
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| Series: | Problemi Ekonomiki |
| Subjects: | |
| Online Access: | http://www.problecon.com/export_pdf/problems-of-economy-2016-4_0-pages-231_237.pdf |
| _version_ | 1797330727180697600 |
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| author | Vitlinskyy Valdemar V. Skitsko Volodymyr I. |
| author_facet | Vitlinskyy Valdemar V. Skitsko Volodymyr I. |
| author_sort | Vitlinskyy Valdemar V. |
| collection | DOAJ |
| description | Information and communication tools and technologies are rapidly
changing daily lives of people and business processes in economic activity
primarily in the field of logistics. In particular, the innovative nature of these
transformations leads to the emergence of new logistical risks, changing
the essence of the existing ones, which needs to be taken into account in
the management of logistics systems at various levels. Besides, the problem
of Big Data has become increasingly urgent, which, on the one hand, can
improve the validity of making managerial decisions, on the other hand —
they (Big Data) require modern tools for their production, processing and
analysis. As such tools there can be used methods and models of natural
computing. In the paper the basics of ant and bee algorithms, the particle
swarm method, artificial immune systems are summarized; the possibilities
of their application in the modeling of various types of logistical risk are
demonstrated, the formalization of the problem of risk modeling with the
use of an artificial immune system being given as a conditional example. |
| first_indexed | 2024-03-08T07:23:46Z |
| format | Article |
| id | doaj.art-e65e598e5ad04f108f36cd19bfb681ca |
| institution | Directory Open Access Journal |
| issn | 2222-0712 2311-1186 |
| language | English |
| last_indexed | 2024-03-08T07:23:46Z |
| publishDate | 2016-11-01 |
| publisher | PH "INZHEK" |
| record_format | Article |
| series | Problemi Ekonomiki |
| spelling | doaj.art-e65e598e5ad04f108f36cd19bfb681ca2024-02-02T22:38:21ZengPH "INZHEK"Problemi Ekonomiki2222-07122311-11862016-11-014231237Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural ComputingVitlinskyy Valdemar V. 0Skitsko Volodymyr I. 1 Doctor of Science (Economics), Professor, Head of the Department of Economic and Mathematical Modeling, Kyiv National Economic University named after V. HetmanCandidate of Sciences (Economics), Associate Professor, Associate Professor of the Department of Economic and Mathematical Modeling, Kyiv National Economic University named after V. HetmanInformation and communication tools and technologies are rapidly changing daily lives of people and business processes in economic activity primarily in the field of logistics. In particular, the innovative nature of these transformations leads to the emergence of new logistical risks, changing the essence of the existing ones, which needs to be taken into account in the management of logistics systems at various levels. Besides, the problem of Big Data has become increasingly urgent, which, on the one hand, can improve the validity of making managerial decisions, on the other hand — they (Big Data) require modern tools for their production, processing and analysis. As such tools there can be used methods and models of natural computing. In the paper the basics of ant and bee algorithms, the particle swarm method, artificial immune systems are summarized; the possibilities of their application in the modeling of various types of logistical risk are demonstrated, the formalization of the problem of risk modeling with the use of an artificial immune system being given as a conditional example.http://www.problecon.com/export_pdf/problems-of-economy-2016-4_0-pages-231_237.pdflogistical risknetworked information economynatural computingcollective artificial intelligenceIndustry 4.0 |
| spellingShingle | Vitlinskyy Valdemar V. Skitsko Volodymyr I. Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing Problemi Ekonomiki logistical risk networked information economy natural computing collective artificial intelligence Industry 4.0 |
| title | Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing |
| title_full | Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing |
| title_fullStr | Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing |
| title_full_unstemmed | Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing |
| title_short | Conceptual Aspects in the Modeling of Logistical Risk of the Networked Information Economy with the Use of Tools of Natural Computing |
| title_sort | conceptual aspects in the modeling of logistical risk of the networked information economy with the use of tools of natural computing |
| topic | logistical risk networked information economy natural computing collective artificial intelligence Industry 4.0 |
| url | http://www.problecon.com/export_pdf/problems-of-economy-2016-4_0-pages-231_237.pdf |
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