Finding the best versions of schedule for order fulfillment at food companies
dc.contributor.author | Hrybkov, Serhii | |
dc.contributor.author | Kharkyanen, Olena | |
dc.contributor.author | Gladka, Yuliya | |
dc.date.accessioned | 2021-01-20T14:17:57Z | |
dc.date.available | 2021-01-20T14:17:57Z | |
dc.date.issued | 2020 | |
dc.description.abstract | The article suggests a mathematical model of the multicriteria problem of formation of production tasks and operational-calendar plans at food companies, taking into account their specific features. The research was carried out, the bat algorithm and its modifications were adjusted and tested. The choice of the bat algorithm based on the Levy flight random search strategy is substantiated. This approach provides the formation of new and alternative plans for orders fulfillment at a food company, taking into account the proposed mathematical model. | uk_UA |
dc.identifier.citation | Hrybkov, S. Finding the best versions of schedule for order fulfillment at food companies / S. Hrybkov, О. Kharkianen, Y. Gladka // MIND JOURNAL. – 2020. – № 9. – P. 1–12. | uk_UA |
dc.identifier.uri | https://dspace.nuft.edu.ua/handle/123456789/32432 | |
dc.language.iso | en | uk_UA |
dc.subject | mathematical model | uk_UA |
dc.subject | математична модель | uk_UA |
dc.subject | planning of the orders fulfillment | uk_UA |
dc.subject | планування виконання замовлень | uk_UA |
dc.subject | the bat algorithm | uk_UA |
dc.subject | алгоритм кажана | uk_UA |
dc.subject | кафедра інформаційних технологій, штучного інтелекту і кібербезпеки | uk_UA |
dc.title | Finding the best versions of schedule for order fulfillment at food companies | uk_UA |
dc.type | Article | uk_UA |
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