Кафедра економічної інформатики (ДМетІ)
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UK: Кафедра економічної інформатики (Дніпровський металургійний інститут, ДМетІ)
EN: Department of Economic Informatics (DMetI)
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Browsing Кафедра економічної інформатики (ДМетІ) by Author "Lozovska, Lyudmila I."
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Item Developing Software to Solve Certain Problems of Inventory Management(Видавництво «Молодий вчений», 2022) Lozovska, Lyudmila I.; Bandorina, Lily M.ENG: In modern conditions of intensifying competition in consumer markets, stable operation of enterprises is ensured by the implementation of strategies for maximum satisfaction of consumer demand for goods and related services. Planning such strategies requires improvements in various enterprise systems, in particular, the inventory management system based on the rationalization and optimization of product flows, use of appropriate models and methods for these tasks. Every company strives to satisfy the customer at the highest possible level. This task requires a significant investment in inventory. At the same time, an equally important task is to find new opportunities to reduce all types of costs and increase profits, therefore, from the point of view of finance, the ideal state is when there is no stock while the production needs of the company are met in full. But such a situation is absolutely impossible in real conditions. In order to work as efficiently as possible and reach acceptable financial indicators, it is necessary to effectively manage inventory stock at the enterprise. An essential feature of inventory modeling process is uncertainty in real conditions, which is associated with the inaccuracy or incompleteness of information about demand, supply, time delays of ordered goods, product spoilage and other parameters of the logistics system. This necessitates an effective inventory management mechanism in conditions of uncertainty. Solving this problem requires calculation of exact date and quantity of each subsequent order. Most modern software packages for inventory management are quite difficult to understand or require large financial expenses. In addition, most practical applications are designed for deterministic parameters of demand and production schedule. In fact, demand has a high level of uncertainty, which requires improved algorithms using stochastic theory of inventory management. Thus, a number of issues related to this field still remain unresolved or incompletely resolved. Most publications consider the classic toolkit with some well-known modifications. However, classic models are quite difficult to apply in in real life because the ideal conditions are difficult to achieve in practice. The models do not take into account the limitations imposed by internal and external factors. Based on this, we have created software that would perform the required task. The final product of the research is a software product that enables warehouse operators and managers to optimize drafting a schedule of production inventory deliveries in conditions of demand uncertainty, as well as controlling deliveries based on an economic-mathematical model of inventory management in conditions of demand uncertainty. The software is able to determine the optimal period of delivery of several types of resources, total costs for storage and ordering, the effect of the obtained savings, speeding up and simplifying the dispatcher's work.Item Information System for Determining the Optimal Moment of Supply in Conditions of Undetermination of Demand Value(Ukrainian State University of Science and Technologies, Dnipro, 2025) Lozovska, Lyudmila I.; Tereshchenko, ElinaENG: The theoretical issues of building a model for determining the optimal delivery time based on statistical data on demand for the previous period are investigated. The availability of demand statistics allows us to construct a distribution for a random demand value. An information system is developed to solve the considered problem of determining the optimal delivery times under conditions of uncertainty.Item Overview of the Current State of Digitalization of Educational Assets in the Conditions of the New Economy(Український державний університет науки і технологій, Дніпро, 2024) Kanishchev, Ihor A.; Lozovska, Lyudmila I.ENG: Purpose. The purpose of this work is to review the state of research on the digitalization of educational services assets in the new economy and identify promising directions for the development of digital educational services and digitalization. Methodology. The article is devoted to the topical issues of conducting a comprehensive review of research results in the direction of digitalization of services in the conditions of the new economyprogramming language) was used to develop the software for drawing up the optimal schedule. Findings. The analysis of the current state of research in the field of digitalization of educational services allows us to draw the following conclusions: the digitalization process is an integral part of our life; the introduction of digital technologies brings benefits not only in the field of education, but also in other equally important areas, which once again confirms the fact of the relevance of the use of digital technologies, which are an integral part of our everyday life, in addition, in the future, dependence on digital technologies will only increase; in order to master digital technologies, there is already a need for the appearance of instructors and training courses, etc.; Algorithms and action formulas have been developed regarding the digitalization of Ukrainian regions; the relevance of the digitalization of educational services is beyond doubt and is very important and understudied, and therefore there is a great potential for learning new things and discovering new knowledge. That is, the digitalization of every sphere is a necessary condition for progressive development, and the economy is no exception. Originality. The conducted review revealed the directions of scientific research on the digital transformation of educational activities of institutions of higher education, which can be useful for the practical application of these ideas in institutions of higher education, proposed methods of combating illegal income by introducing digitalization of the national economy, proposed new methods of approach to increasing digital competence employees of organizational and educational units at the university. Practical value. Conclusions were made regarding the relevance and usefulness of the results of the research for implementation in practice.Item Pipe Production Cost Management Model Based on Graph Theory(Dnipro University of Technology, Dnipro, 2024) Toporkova, Olena A.; Lozovska, Lyudmila I.; Savchuk, Larysa M.; Monia, Andrii G.; Bandorina, Liliia M.ENG: The pipe production process is a complex dynamical system with a significant number of production operations and interconnected cost localization centres. Purpose. To develop a mathematical model of the process of handling analytical information of a pipe enterprise using graph theory for the needs of cost management at each production stage. Methodology. Technological flow charts of the production job, where the list of mandatory activities and routing of the operating process are indicated, were used to organize cost accounting by operational centres of their localization with the help of computer modelling elements, namely the graph theory. The work used a complex of research methods, including analysis and scientific synthesis of scientific and technical information; theoretical studies; methods of mathematical and computer modelling, engineering developments. Findings. The cost accounting process is represented by a directed hypergraph. Each production operation is associated with a graph vertex. Each vertex is assigned to a series of interrelated marks: type of technological operation; weight factor; the value of direct costs for the operation; the value of indirect costs for the operation; the expense factor. The initial state of the hypergraph is specified by means of its initial marking, which corresponds to the set cipher of the batch of pipes and its weight. Further execution of the marked hypergraph is performed by running the allowed vertices. Marking of the graph ends if all the information from the technological flow charts of pipe products has been used. Originality. A model of cost management by operational centres is proposed which will allow dividing the prime cost of pipes which differ according to the production technology. It is recommended to rank pipe products within each technologically similar group for an economically feasible allocation of costs between batches of pipes. The proposed process model of processing analytical information of the pipe enterprise using graph theory will allow providing data governance as for the prime cost of each individual batch of pipe products, will contribute to the improvement in the order generation procedure taking into account the acquired information, and will allow making the appropriate adjustments when making management decisions. Practical value. Calculation of expenses for production operations allows one to identify the most cost-intensive of them. Relying on the results of the calculation, the enterprise management has the opportunity to manage costs at any stage of the production process. Moreover, the model allows determining the amount of consumed metal for each production operation, which is relevant for pipe enterprises. It is appropriate to focus further scientific developments in this direction on the possibility of managing non-manufacturing cost with the help of mathematical models in economics to optimize the supply and sales activities of the enterprise.Item Review of Classic Model of Optimal Placement of Enterprises(НМетАУ, Дніпро, 2021) Lozovska, Lyudmila I.; Tereshchenko, ElinaENG: The article is devoted to the review of classical models of optimal location of enterprises. The geographical location of the company affects its performance. Wrongly chosen place for the production chain can turn it from promising to unprofitable and impractical. This paper considers the models proposed by scientists who have studied the optimality of the problem of placement, analyzed the strengths and weaknesses of these models and justified the need to update and adapt historical models to new economic realities. Problems of optimal location of enterprises are still being studied today. After analyzing the considered models, it is concluded that the use of these models in modern conditions requires their modernization and adaptation. It is also necessary to supplement the models with a factor of uncertainty in determining the optimal location of the enterprise, which will lead to the possibility of more flexible use.