Перегляд за Автор "Hrybkov, Serhii"

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An intelligent production planning support system between bakery enterprises
(2022) Limanska, Nataliia; Hrybkov, Serhii; Kostikov, Mykola
The paper proposes an intelligent system for production planning support between bakery enterprises. Considering the specifics of bakery enterprises, a mathematical model of profit is proposed. This model takes into account logistical features when distributing orders among several enterprises in this industry. The paper considers the complex task of taking into account the necessary raw materials supply to corresponding factories, as well as the supply of finished products to customers. The proposed mathematical model allows the creation of an order fulfillment plan that takes into account all operations of the technological process in the manufacturing of products. It also allows adjustment and evaluation of the order fulfillment efficiency depending on the objective and subjective advantages provided by the decision maker and allows both consideration and exclusion of certain partial criteria depending on a specific situation. The model makes it possible to estimate and build an operational-calendar order fulfillment plan. The paper analyzes several methods and approaches that are included in the intelligent support system for planning the manufacturing of products between bakery enterprises that belong to the same company or have a cooperation agreement concluded between them, which will make it possible to derive the entire management process to a new level. The proposed information system structure makes it possible to combine the use of modified algorithms and methods based on combining algorithms, which were also analyzed in the work, as well as some classical approaches. The system provides a possibility to select a set of algorithms and methods, which increases the range of applications. The proposed system quickly forms an operational calendar plan for order fulfillment with cost minimization aimed at maximizing profit; enables reduction of logistics costs, which ensures obtaining higher quality products with minimal waiting time; allows quick adjustment of the existing calendar plan of orders, which makes it possible to respond to orders in real-time and ensure optimal use of technological equipment; significantly increases the efficiency of using raw materials, and also ensures the minimization of costs for their storage; ensures a quick response in case of negative and extraordinary situations by making appropriate changes to the current order fulfillment plan.
Core ontology for describing production equipment according to intelligent production
(2022) Vlasenko, Lidia; Lutska, Natalia; Zaets, Natalia; Korobiichuk, Igor; Hrybkov, Serhii
This article presents the development of a core ontology for describing knowledge about the technological and technical parts of a production plant, in particular, theoretical knowledge for monitoring, diagnosing and forecasting of production equipment, taking into account the concept of Industry 4.0. This study is related to the definition of terms and their relationships for the processing industry in the core ontology. The core ontology is the basis for the development of domain and application ontologies, which create conditions for the system solution for the complex problems of operating industrial equipment. It consists of an ontological classification of core concepts according to the fundamental basic formal ontology. The essences of BFO were specified and revealed by methods of decomposition and generalization according to generally accepted structures of industrial enterprises. The proposed ontology contains 33 classes, 7 object properties and 34 individuals. The ontology is conceptually transparent and semantically clear, so it is suitable for theoretical knowledge transfer, sharing and retrieval. The ontology is implemented in the OWL language and validated. This article provides examples of requests for work with ontology, which prove the effectiveness of its use in industrial enterprises.
Development of a modified ant colony algorithm for order scheduling in food processing plants
(2022) Korobiichuk, Igor; Hrybkov, Serhii; Seidykh, Olga; Ovcharuk, Vladimir; Ovcharuk, Andrii
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
Development of biometric identification using system neural networks
(2018) Hrybkov, Serhii; Chornobai, Kateryna
The use of the created system of biometric identification is very broad and focused on state and commercial facilities with limited funding, such as kindergartens, schools, universities, hospitals, etc. One of the directions of using this system is its use for authentication in modern web-applications and for access to commercial wireless local area networks Wi-Fi, which will become an additional protection against unauthorized access.
Development of information technology for planning order fulfillment at a food enterprise
(2020) Hrybkov, Serhii; Kharkyanen, Olena; Ovcharuk, Vladimir; Ovcharuk, Iryna
Запропоновано інформаційну технологію для розв’язання задачі планування виконання замовлень по виготовленню продукції на харчових підприємствах в умовах невизначеності та ризику. Інформаційна технологія ґрунтується на комбінуванні алгоритмів мурашиної колонії, сірих вовків та генетичного, а також розробленій математичної моделі оперативного виконання замовлень. Перевагами комбінування алгоритмів є формування альтернативних варіантів планів та уникнення локальних оптимумів. Запропонована математична модель містить часткові критерії, обмеження та оціночну функцію для визначення ефективності сформованого варіанту плану виконання замовлень. Для наочності оцінки ефективності варіанту виконання замовлень запропоновано застосування пелюсткової діаграми та адитивної згортки часткових критеріїв. Математична модель дозволяє ОПР визначити будь-який набір часткових критеріїв для врахування особливостей параметрів виконання замовлень. Інформаційна технологія забезпечує швидку реконфигурацію поточного плану виконання замовлень у разі виникнення позаштатних ситуацій або необхідності термінового виконання певного замовлення. Abstract: An information technology has been proposed that aims to resolve the task of planning the fulfillment of orders for manufacturing products at food enterprises under conditions of uncertainty and risk. The information technology is based on combining the ant colony, gray wolves, and genetic algorithms, as well as the constructed mathematical model of the operative execution of orders. The advantages of algorithm combination include the formation of alternative variants of plans and the avoidance of local optima. The proposed mathematical model includes the partial criteria, constraints, as well as an evaluation function, for determining the effectiveness of the compiled plan of order execution. The application of a petal diagram and an additive convolution of partial criteria has been suggested to illustrate the clarity of a variant of order fulfillment. The mathematical model makes it possible for a DM to define any set of partial criteria to take into consideration the patterns of order execution. The information technology ensures rapid reconfiguration of the current plan of order execution in the event of emergencies or the need to urgently fulfill a certain order.
Development of information technology for supporting the process of adjustment of the food enterprise assortment
(2018) Kharkyanen, Olena; Hrybkov, Serhii; M'yakshylo, Olena; Kostikov, Nicholay
The object of the research is the process of managing the production of products at the multi-choice food company. The subject of the study is the application of methods of data mining to support the process of adjusting the assortment of products. As a result of the study, the information technology has been developed, which includes adapted methods of data mining. The use of this technology will improve the efficiency of economic activity of enterprises. This is achieved by reducing the cost of the product itself. The proposed technology can be used both in the food industry and in other branches of production.
Development of mathematical apparatus of the expert system for modelling ice cream recipes with specified quality parameters
(2019) Breus, Natalia; Hrybkov, Serhii; Polishchuk, Galyna; Seidykh, Olga
As a result of the development of the expert system mathematical apparatus, a set-theoretical mathematical model of the finished product quality control at the stage of operative planning of new types of ice cream with increased nutritional value has been obtained; multi-component ice cream recipes have been optimized in terms of composition; and a model for determining the optimal set of control actions in the presence of technological defects in the calculation of recipes has been built.
Ecological packaging materials for bakery and confectionery products based on a new pectin modification
(2022) Shulga, Oksana; Hrybkov, Serhii; Shulga, Sergii
Pectin is advisable to be used for biodegradable film production. There are a lot of types of modified pectin, but its modification potential has not yet been exhausted. Materials and methods. Pectin, polyvinyl alcohol (PVA, E 1203), glycerol (E 422), oleic acid were used in this study. The vapor permeability of the film was determined according to BS EN 12086:1997. The physical and mechanical properties (strength and elongation) of the films were determined on the TIRAtest-2151 universal testing machine. Infrared (IR) spectroscopy was performed on a Nexus-475 Nicolet device.
Expert system for ice cream recipes modeling
(2019) Breus, Natalia; Hrybkov, Serhii
The paper considers the creation and use of an expert system for modeling ice cream recipes.
Features of Control Processes in Organizational-Technical (Technological) Systems of Continuous Type
(2020) Korobiichuk, Igor; Ladanyuk, Anatoly; Boyko, Regina; Hrybkov, Serhii
Technological complexes of various industries are characterized by certain modes of operation (techno-logical regulations), which correspond to the set of vari-ables 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 (techno-logical) 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 subsys-tems to quickly manage complex organizational-tech-nical systems based on both: clear and formalized data and knowledge and high-quality fuzzy estimates.
Finding the best versions of schedule for order fulfillment at food companies
(2020) Hrybkov, Serhii; Kharkyanen, Olena; Gladka, Yuliya
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.
Hybrid algorithm based on fish school search and grey wolf optimizer algorithms for food enterprise management
(2020) Hrybkov, Serhii; Seidykh, Olga
У статті запропоновано гібридний метод на основі алгоритмів оптимізації для вирішення задач управління процесом виробництва харчових підприємств в умовах невизначеності та ризику. Цей гібридний алгоритм базується на алгоритмах FSS (Fish School Search) та GWO (Gray Wolf Optimizer). Перевага гібридного алгоритму полягає у формуванні альтернативних рішень завдань управління виробництвом - пошуку бажаного глобального оптимуму за прийнятий час з уникненням локальних оптимумів. The article proposes a hybrid method on the basis of optimization algorithms inspired by nature for solving problems of food enterprise production process management in conditions of uncertainty and risk. This hybrid algorithm is based on FSS (Fish School Search) and GWO (Grey Wolf Optimizer) algorithms. The advantages of algorithm hybridization are the formation of alternative solutions to the production management task of finding the desired global optimum within a reasonable time with avoiding local optimums.
Hybrid e xpert system to model the ice cream recipes
(2017) Breus, Natalia; Hrybkov, Serhii; Polishchuk, Galyna
The method of ice cream recipe modeling is developed, which, unlike traditional ones, is based on the application of processing expert data and optimization methods. It allows to significantly expand the range of tasks. These tasks solutions can bring significant economic effect.
Mathematical modeling of thermal processing of meat products
(2016) Pavelko, Vladimir; Hrybkov, Serhii; Zaslavskiy, Arkady; Dmitrenko, Daria
У статті представлено математичне моделювання термообробки ковбасних виробів під час термічної обробки пароконденсатних камер на м'ясопереробних заводах. Термін обробки ковбаси та м'яса було розділено на кілька етапів, кожний етап тривалості попередньо визначався аналітичним рішенням теплопередачі для будь-якого особливого розміру ковбасного продукту. Послідовні етапи термічного процесу включають етап сушіння, стадію куріння та стадію готування ковбасних виробів. Тривалість кожної стадії термічної обробки ковбаси може бути розрахована пропонованими емпіричними рівняннями. Розраховуючи тривалість термічної обробки ковбасних виробів, початковий стан температури продукту вважається середнім значенням температури. Спеціально розроблений алгоритм теплового розрахунку термообробки ковбасних виробів дозволяє оцінити споживання теплової енергії для будь-якої даної обробки кухні, враховуючи зміни технологічних параметрів. Таким чином, математичну модель пропонується застосувати до теплових (структурних) проектних та інженерних розрахунків для вищезазначенихпарогенераторних камер.
Modeling of the decision support system structure in the planning and controlling of contracts implementation
(2015) Hrybkov, Serhii; Oliinyk, Hanna
Relevance of the topic is stipulated by the increase of the management efficiency due to creation and application of decision support systems in the planning and controlling of contracts implementation.
Overview of evolutionary modeling algorithms for contract scheduling
(2023) Hrybkov, Serhii; Kozhushko, Illia
The analysis was carried out to determine the advantages and disadvantages between the algorithms and to define the best solution that can be used to support the planning of contract execution.
Solution of control tasks using bat algorithm modifications
(2020) Hrybkov, Serhii; Seidykh, Olga
У роботі проведено дослідження алгоритмів кажанів та їх модифікацій. Проведено їх адаптацію для розв’язання багатокритеріальної задачі формування виробничих завдань та оперативно-календарних планів на харчових підприємствах. Проведений аналіз літературних джерел вітчизняних та зарубіжних авторів забезпечив підґрунтя для проведення дослідження. Апробація проводилась на основі статистичних даних по виконанню замовлень харчових підприємств. Обґрунтовано обрання алгоритму кажанів на основі стратегії пошуку польотів Levy, що забезпечує формування альтернативних планів виконання замовлень з урахування запропонованої математичної моделі. Використання алгоритму кажанів на основі стратегії пошуку польотів Levy для розв’язання складних багатокритеріальних задач забезпечує швидкий пошук, що є дуже важливим в реальних умовах прийняття рішень,а також може бути використаний у системах підтримки прийняття рішень. The work included research of bat algorithms and their modification to solve management tasks at food enterprises. Selection of the bat algorithm on the basis of Levy flight search strategy, which provides formation of alternative plans for order execution, taking into account the proposed mathematical model, the use of which allows to form new plans and to reconfigure existing plans in a short time, was justified.
Study of the methods and approaches of databases refactoring
(2018) Hrybkov, Serhii; Struzik, Vladislav; Lytvin, Anna; Chobanu, Valeria
At the moment, the approaches to refactoring code are described in most fundamental literary sources, there are many approaches and automated software tools for its implementation. The process of code refactoring in theory does not differ from practical application.
Typical Platform of a Decision Support System Software Complex in an Enterprise Management System
(2020) Hrybkov, Serhii; Litvinov, Valeriy; Oliinyk, Hanna; Chobanu, Valeria
Propose model of interoperable aggregate of program platforms that provides performance of all basic stages on creation of a decision-making support subsystem — from construction of a program infrastructure of a subsystem to modular and integration testing of a program code. The proposed software and technology solutions presented in the model have been successfully tested in the decision support system for the formation and operational reconfiguration of production plans for the implementation of enterprise contracts
Web-Based decision support system for contract planning
(2018) Hrybkov, Serhii; Oliinyk, Hanna
The production activities of enterprises operating in the field of providing information services and protecting confidential information depend to a large extent on the organization of contract planning.