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.

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Фільтри

2014 - 201912020 - 20242

Налаштування

ORCID: search.filters.orcid.https://orcid.org/0000-0002-3189-5623Ключове слово: search.filters.subject.business processes

Результати пошуку

Зараз показуємо 1 - 3 з 3
  • Ескіз
    Документ
    Development and research of software solution for business process model correctness analysis using machine learning
    (Національний технічний університет "Харківський політехнічний інститут", 2024) Kopp, Andrii Mykhailovych; Orlovskyi, Dmytro Leonidovych; Litvinova, Uliya Serhiivna
    Poorly designed business process models are a source of errors and the subsequent costs associated with these errors, such as monetary costs, lost time, or even some harmful impact on people or the environment if the erroneous business process models are associated with critical industries. The BPM (Business Process Management) lifecycle usually consists of designing, implementing, monitoring, and controlling the business process execution, but it lacks continuous quality control of the created BPMN (Business Process Model and Notation) models. Thus, this paper considers the problem of business process models classification based on their correctness, which solution will ensure quality control of the designed business process models. Thus, this study aims to improve the quality of business process models by developing a software solution for business process models classification based on their correctness. The subject of the study is the process of business process models classification based on their correctness, which uses quality measures and thresholds, usually, complexity measures. The subject of the study is a software solution for business process models classification based on their correctness. Therefore, in this study, the algorithm to solve the problem of BPMN models classification using logistic regression, interface complexity, and modularity measures is proposed, the software requirements are determined, the software development tools are selected, the software for business process models classification based on their correctness is designed, the corresponding software components are developed, the use of a software solution for solving the problem of business process models classification based on their correctness is demonstrated, the obtained results are analyzed and discussed. The developed software indicates high performance of BPMN models classification based on their correctness, achieving high accuracy (99.14 %), precision (99.88 %), recall (99.23 %), and F-score (99.56 %), highlighting the high performance of modeling errors detection.
  • Ескіз
    Документ
    Research on error probability assessment in user personal data processing in GDPR-compliant business process models
    (Національний технічний університет "Харківський політехнічний інститут", 2024) Kopp, Andrii Mykhailovych; Orlovskyi, Dmytro Leonidovych; Kizilov, Oleksii Serhiiovych; Halatova, Olha Serhiivna
    The only right strategy for businesses and government organizations in Ukraine and other countries that may face aggression is to recognize themselves as a potential target for cyberattacks by the aggressor (both by its government agencies and related cybercriminal groups) and take appropriate measures in accordance with the European Union’s General Data Protection Regulation (GDPR). The main purpose of the GDPR is to regulate the rights to personal data protection and to protect EU citizens from data leaks and breaches of confidentiality, which is especially important in today’s digital world, where the processing and exchange of personal data are integral parts of almost every business process. Therefore, the GDPR encourages organizations to transform their day-to-day business processes that are involved in managing, storing, and sharing customers’ personal data during execution. Thus, business process models created in accordance with the GDPR regulations must be of high quality, just like any other business process models, and the probability of errors in them must be minimal. This is especially important with regard to the observance of human rights to personal data protection, since low-quality models can become sources of errors, which, in turn, can lead to a breach of confidentiality and data leakage of business process participants. This paper analyzes recent research and publications, proposes a method for analyzing business process models that ensure compliance with the GDPR regulations, and tests its performance based on the analysis of BPMN models of business processes for obtaining consent to data processing and withdrawal of consent to user data processing. As a result, the probability of errors in the considered business process models was obtained, which suggests the possibility of confidentiality violations and data leaks of the participants of the considered business processes associated with these errors, and appropriate recommendations were made.
  • Ескіз
    Документ
    Про один підхід до формування рекомендацій щодо удосконалення бізнес-процесів, пов'язаних з постачанням продукції
    (НТУ "ХПІ", 2014) Орловський, Дмитро Леонідович; Копп, Андрій Михайлович
    Пропонується підхід до формування рекомендацій щодо удосконалення бізнес-процесів, пов’язаних з постачанням продукції, на основі аналізу значень планових та фактичних показників логістичних бізнес-процесів моделі, та подальшого визначення бізнес-процесів, які потребують удосконалення. Для визначення планових показників бізнес-процесів пропонується вирішувати задачу визначення оптимального обсягу замовлення продукції.