Autor: Hrybkov, Serhii - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Finding The Best Versions Of Schedule For Order Fulfillment At Food Companies
Autorzy:: Hrybkov, Serhii
Kharkianen, Olena
Gladka, Yuliya
Powiązania:: https://bibliotekanauki.pl/articles/1403610.pdf
Data publikacji:: 2020
Wydawca:: Wyższa Szkoła Ekonomiczno-Humanistyczna w Bielsku-Białej
Tematy:: mathematical model
planning of the orders fulfillment
combined algorithms
the bat algorithm
Opis:: 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.
Źródło:: MIND Journal; 2020, 9; 1-12
2451-4454
Pojawia się w:: MIND Journal
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Features of control processes in organizational-technical (technological) systems of continuous type
Autorzy:: Korobiichuk, Igor
Ladanyuk, Anatoliy
Boiko, Regina
Hrybkov, Serhii
Powiązania:: https://bibliotekanauki.pl/articles/2141889.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: sugar production
control object
technological monitoring
automated complexes
uncertainty of information
neuro-fuzzy networks
Opis:: Technological complexes of various industries are characterized by certain modes of operation (technological regulations), which correspond to the set of variables of different nature, which have a high-dynamics of change and determine the main technical and economic performance of the object. The aim of the research is to identify information software approaches to support decision-making in organizational-technical (technological) systems. Research results are obtained through grouping, generalization and comparison methods. The scientific significance of the results are to determine the objective need to use intelligent decision support subsystems to quickly manage complex organizational-technical systems based on both: clear and formalized data and knowledge and high-quality fuzzy estimates.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 4; 11-17
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Development of a modified ant colony algorithm for order scheduling in food processing plants
Autorzy:: Korobiichuk, Igor
Hrybkov, Serhii
Seidykh, Olga
Ovcharuk, Volodymyr
Ovcharuk, Andrii
Powiązania:: https://bibliotekanauki.pl/articles/2204558.pdf
Data publikacji:: 2022
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: order fulfillment planning
modified ant colony algorithm
efficiency of the algorithms
optimization
food industry
Opis:: This developed modified ant colony algorithm includes an additional improvement with local optimization methods, which reduces the time required to find a solution to the problem of optimization of combinatorial order sequence planning in a food enterprise. The planning problem requires consideration of a number of partial criteria, constraints, and an evaluation function to determine the effectiveness of the established version of the order fulfillment plan. The partial criteria used are: terms of storage of raw materials and finished products, possibilities of occurrence and processing of substandard products, terms of manufacturing orders, peculiarities of fulfillment of each individual order, peculiarities of use of technological equipment, expenses for storage and transportation of manufactured products to the end consumer, etc. The solution of such a problem is impossible using traditional methods. The proposed algorithm allows users to build and reconfigure plans, while reducing the time to find the optimum by almost 20% compared to other versions of algorithms.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 1; 53--61
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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