Assessment of Logistics Risk using Collective Artificial Intelligence
In substantiating management decisions in logistics, there can be used various economic and mathematical methods and models for quantitative risk assessment constructed with the help of a variety of instruments. Due to the increase in the processing power of computer equipment, economic and mathemat...
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| Format: | Article |
| Language: | English |
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PH "INZHEK"
2017-12-01
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| Series: | Problemi Ekonomiki |
| Subjects: | |
| Online Access: | http://www.problecon.com/export_pdf/problems-of-economy-2017-4_0-pages-430_436.pdf |
| _version_ | 1797331231688359936 |
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| author | Skitsko Volodymyr I. |
| author_facet | Skitsko Volodymyr I. |
| author_sort | Skitsko Volodymyr I. |
| collection | DOAJ |
| description | In substantiating management decisions in logistics, there can be used various economic and mathematical methods and models for quantitative risk assessment constructed with the help of a variety of instruments. Due to the increase in the processing power of computer equipment, economic and mathematical models become more complex, more precise, and the range of modeling tools expands. The current promising area in mathematical modeling is collective artificial intelligence, with the help of which it is possible to effectively solve weakly structured, multi-criteria, multi-purpose, complex economic problems. The mathematical model of the bat algorithm, the basic rules and steps of its functioning are presented, the application of the bat algorithm to solve the multi-index transport problem in the formulation of which the logistics risk is taken into account is shown, and the way to assess the logistics risk using the results of the functioning of the bat algorithm is shown. |
| first_indexed | 2024-03-08T07:31:25Z |
| format | Article |
| id | doaj.art-b37b160d042348a780794b9ea688cba9 |
| institution | Directory Open Access Journal |
| issn | 2222-0712 2311-1186 |
| language | English |
| last_indexed | 2024-03-08T07:31:25Z |
| publishDate | 2017-12-01 |
| publisher | PH "INZHEK" |
| record_format | Article |
| series | Problemi Ekonomiki |
| spelling | doaj.art-b37b160d042348a780794b9ea688cba92024-02-02T20:25:16ZengPH "INZHEK"Problemi Ekonomiki2222-07122311-11862017-12-014430436Assessment of Logistics Risk using Collective Artificial IntelligenceSkitsko Volodymyr I.0Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Economic and Mathematical Modeling, Kyiv National Economic University named after V. HetmanIn substantiating management decisions in logistics, there can be used various economic and mathematical methods and models for quantitative risk assessment constructed with the help of a variety of instruments. Due to the increase in the processing power of computer equipment, economic and mathematical models become more complex, more precise, and the range of modeling tools expands. The current promising area in mathematical modeling is collective artificial intelligence, with the help of which it is possible to effectively solve weakly structured, multi-criteria, multi-purpose, complex economic problems. The mathematical model of the bat algorithm, the basic rules and steps of its functioning are presented, the application of the bat algorithm to solve the multi-index transport problem in the formulation of which the logistics risk is taken into account is shown, and the way to assess the logistics risk using the results of the functioning of the bat algorithm is shown.http://www.problecon.com/export_pdf/problems-of-economy-2017-4_0-pages-430_436.pdflogistics riskcollective artificial intelligencebat algorithmmulti-index distribution problem |
| spellingShingle | Skitsko Volodymyr I. Assessment of Logistics Risk using Collective Artificial Intelligence Problemi Ekonomiki logistics risk collective artificial intelligence bat algorithm multi-index distribution problem |
| title | Assessment of Logistics Risk using Collective Artificial Intelligence |
| title_full | Assessment of Logistics Risk using Collective Artificial Intelligence |
| title_fullStr | Assessment of Logistics Risk using Collective Artificial Intelligence |
| title_full_unstemmed | Assessment of Logistics Risk using Collective Artificial Intelligence |
| title_short | Assessment of Logistics Risk using Collective Artificial Intelligence |
| title_sort | assessment of logistics risk using collective artificial intelligence |
| topic | logistics risk collective artificial intelligence bat algorithm multi-index distribution problem |
| url | http://www.problecon.com/export_pdf/problems-of-economy-2017-4_0-pages-430_436.pdf |
| work_keys_str_mv | AT skitskovolodymyri assessmentoflogisticsriskusingcollectiveartificialintelligence |