Вісники НТУ "ХПІ"
Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/2494
З 1961 р. у ХПІ видається збірник наукових праць "Вісник Харківського політехнічного інституту".
Згідно до наказу ректора № 158-1 від 07.05.2001 року "Про упорядкування видання вісника НТУ "ХПІ", збірник був перейменований у Вісник Національного Технічного Університету "ХПІ".
Вісник Національного технічного університету "Харківський політехнічний інститут" включено до переліку спеціалізованих видань ВАК України і виходить по серіях, що відображають наукові напрямки діяльності вчених університету та потенційних здобувачів вчених ступенів та звань.
Зараз налічується 30 діючих тематичних редколегій. Вісник друкує статті як співробітників НТУ "ХПІ", так і статті авторів інших наукових закладів України та зарубіжжя, які представлені у даному розділі.
Переглянути
3 результатів
Результати пошуку
Документ Development of a model and a software solution to support the analytical dashboards design problem(Національний технічний університет "Харківський політехнічний інститут", 2020) Orlovskyi, D. L.; Kopp, A. M.; Kondratiev, V. Yu.This research paper considers the problem of dashboard design as part of the Business Process Management lifecycle, where it is become necessary to monitor and control the current state of the organizational business processes. Therefore, designed dashboards should fully correspond to the features of the considered business processes, such as Key Performance Indicators and possible stakeholders, which are considered here as users of the developed Business Intelligence dashboard application. At the same time, according to the state-of-the-art in the field of data visualization, it is required to choose data visualization techniques, which are clear, easy interpretable, space efficient, attractive, and legible. In general, the dashboard design problem requires placing various visualization tools in a relatively small place, such as a screen of a computer, a laptop, a tablet, or even a smart phone, while keeping them accessible and easy to understand. At first, as part of the related work review and analysis, we have considered the core architecture of the dashboards and reporting applications. It is outlined that modern dashboards might use various big data chunks, such as databases of enterprise information systems of different types, spreadsheets data, and even unstructured documents. In order to summarize all the raw data from these data sources, the Data Warehouse should be built and, moreover, it should correspond to the metrics and indicators of business processes that should be demonstrated on a dashboard. We have also considered main principles, common mistakes, and graphs and charts that might be used to design a dashboard for business analytics purposes. Using the existing research in this field, the levels of informativeness were defined for each visualization tool, as well as the best practices of mapping various data types to graphs and charts are outlined. Proposed model of the da shboard design is based on the mathematical optimization. It is used to provide recommendations on which visualization tool should be used to display a certain Key Performance Indicator on a dashboard that corresponds to a certain user role. Development and usage of the software solution that implements the proposed model is outlined, as well as the obtained results of validation of the proposed software solution are shown and discussed.Документ An information technology for the support for solving the analysis problem of the customers’ value within the enterprise CRM-strategy implementation(НТУ "ХПІ", 2019) Orlovskyi, D. L.; Kopp, A. M.; Pyvovarova, A. A.This study considers a CRM-approach and methods for analyzing customer base. Mathematical and algorithmic support was developed for the analysis of customer value in a trading enterprise. Algorithmic support is presented using the IDEF0 notation. A software solution was developed to assess customer value in a commercial enterprise. A fragment of the data model for the software solution was developed using the IDEF1x notation. The parameters for estimating the value of customers in a commercial enterprise were calculated using the processed data obtained by applying the developed software solution. The developed software solution allows to segment the customer base according to different criteria and provide marketing recommendations to each groups of customers. Therefore, customers were divided into groups according to the calculated parameters. As a result of the analysis, each group of clients receives a marketing recommendations. After the application of recommendations an increase in the purchasing power of clients, belonging to the group to which the marketing recommendation has been provided, is expected. Another used method for analyzing the customer base in the developed software solution is the sales funnel, which displays the effectiveness of the marketing unit at each of the sales stages, thereby allowing to identify weak points in the sales department. Thus, unlike existing software solutions, the developed software allows not only to segment customers by their costs, but also to provide marketing recommendations in order to increase the enterprise’s profit. The generation of recommendations is based on the developed mathematical support. By using this mathematical support, the calculations are carried out. Customers are allocated into certain groups, each of which is provided with the relevant marketing recommendations, by using the results of the performed calculations. In addition, the developed software solution allows not only to design sales funnels, but also to analyze sales funnels.Документ Information support for the analysis of skills and abilities of university students(НТУ "ХПИ", 2018) Orlovskyi, D. L.; Kopp, A. M.; Kuzmin, O. O.In the below article, the application of the fuzzy logical conclusion method is considered as decision-maker in the process of analyzing the students skills and abilities based on the requirements of potential employers, in order to reduce the time of the first interview for potential candidates on a vacant position. When analyzing the results of the assessment of the competence of university students, a certain degree of fuzziness arises. In modern practice, fuzzy logic is used in many different assessment methods, including questioning, interviewing, testing, descriptive method, classification method, pairwise comparison, rating method, business games competence models, and the like. Each of the methods has its advantages and disadvantages, but they are effective only as part of a unified personnel management system. As a method for implementing a systematic approach to the assessment of the contingent of students, it is proposed to use fuzzy logic, a mathematical apparatus that allows you to build a model of an object based on fuzzy judgments. The use of fuzzy logic, the mathematical apparatus of which allows you to build a model of the object, based on fuzzy reasoning and rules. The most important condition for creating such a model is to translate the fuzzy, qualitative assessments used by man into the language of mathematics, which will be understood by the computer. The most used are fuzzy inferences using the Mamdani and Sugeno methods. In a fuzzy inference of the Mamdani type, the value of the output variable is given by fuzzy terms, in the conclusion of the Sugeno type, as a linear combination of the input variables. Research in the field of application of fuzzy logic in socio-economic systems suggests that it can be used to assess the competencies of university students.