Andrii Ivko

The article analyzes the models and methods used to share methodologies in projects, programs, and project portfolios. Relevant literature sources are analyzed, including project management standards and the solutions they offer. Particular attention is paid to hybrid project management methodologies. Three stages of methodology hybridization are identified. The difference between syncretic methodology and hybrid methodology is determined. Three concepts of interaction between the project portfolio management system (the core of the syncretic methodology) and the project management system are considered. A data model (for the methodology interface) that generates a project for exchange with the portfolio management system is described. A model for classifying interfaces between methodologies of individual projects (or methodologies of individual parts of one project) within the project management system of a project-oriented organization (portfolio) is proposed. The following classification criteria are proposed: by the purpose of the interface, by the degree of forecasting future changes in the external and internal project environment, by the degree of use of artificial intelligence, by the degree of universality (applicability to other types of projects and project portfolios), by the methodology of the central management system, by the flexibility of configuration, by the degree of interface automation. The most commonly used types of interfaces between methodologies are characterized by four features. A model of data exchange through interfaces within the syncretic methodology is proposed. A SWOT analysis is conducted, strengths, weaknesses, opportunities that arise when applying the proposed interface models within the syncretic project management methodology, and threats that may arise are highlighted. Areas of further research in the selected direction are formulated: formalization of industry models of interfaces of the syncretic project management methodology at the level of the corporate methodology of a self-managed project-oriented organization (for infrastructure projects); formalization of industry methods for implementing interfaces between methodologies of individual projects and the syncretic core of the project portfolio management system within the syncretic methodology (for infrastructure projects); development of models for using artificial intelligence elements in interfaces between methodologies of individual projects within the project portfolio managed by the syncretic methodology; practical testing of models and methods of interfaces between methodologies of individual projects within the project portfolio, guided by a syncretic methodology in the implementation of projects (project portfolios) of infrastructure restoration in Ukraine by self-managed organizations. Conclusions from the conducted research are formulated.

The object of this study is the theoretical and methodological approaches to determining the coefficient of moisture conductivity of subgrade soils. The work focuses on considering the European approaches and standards when devising a method for determining the coefficient of moisture conductivity of soils. In the course of the research, a method was developed for determining the coefficient of moisture conductivity of soils K1, which characterizes the diffusion movement of water, through the filtration coefficient K0, calculated in accordance with European requirements based on laboratory test data. The proposed method is based on a mathematical model built on the basis of the differential equation of changes in soil moisture. The model is special in that, unlike existing ones, the movement of water was modeled from the bottom up, which reflects the process of moisture accumulation in the lower layers of the subgrade from groundwater or topwater. A good agreement of the mathematical model with the data by other authors was obtained (the relative error did not exceed 12.98 %). A direct relationship between the moisture conductivity coefficient of soils K1 and their initial moisture content W0 and an inverse relationship between K1 and the total moisture capacity of soils WFH were established in the paper. Dependences were derived in the range of changes in initial soil moisture W0 from 0.08 to 0.15 and WFH from 0.15 to 0.5. It was found that the values of the moisture conductivity coefficient of soils K1 increase from 4.64·10-6 to 3.81·10-5 m2/h with an increase in their initial moisture content and with a decrease in total moisture capacity. From the point of view of engineering practice of road construction, the proposed method makes it possible to predict seasonal changes in soil moisture in the subgrade, to determine the strength of the road structure. This makes it possible to make sound design decisions on the installation of drainage systems on roads in order to extend their service life

Introduction. Infrastructure restoration projects of Ukraine are being implemented in the difficult conditions of war and many challenges. To increase the effectiveness of their implementation, project-oriented organizations need an effective management system. At the same time, it is necessary not only to apply innovative models and methods of project management developed by the world's leading organizations and companies, but also to create our own scientific developments, taking into account complex environmental conditions. Since restoration projects are related to the construction industry, which is one of the locomotives of the Ukraine's economy development as a whole. Therefore, the development of new models and methods of increasing the effectiveness of project-oriented organizations is an urgent scientific task. Problem statement. The problems of management systems development of project-oriented organizations implementing restoration projects using modern (including syncretic) project management methodologies are described. The need to improve the efficiency of such management systems is emphasized. The importance of developing a syncretic maturity model for use by project-oriented organizations for the implementation of recovery projects within the syncretic project management methodology is substantiated. The scientific task of developing a model of syncretic maturity in the field of project management for use in the researched type of projects is formulated.

The contemporary business landscape demands agility, innovation, and the seamless integration of diverse approaches. Traditional project management methods often struggle to adapt to this dynamic environment. This abstract introduces the framework model of syncretic management for innovative projects. Syncretic management emphasizes the unification of various elements to achieve a cohesive whole. In this context, it signifies a framework that blends methodologies and tools to optimize project outcomes. Key components include – Interdisciplinary Collaboration, Agile Methodologies, AI Integration. The syncretic management model offers several advantages – Enhanced Innovation, Improved Efficiency, Increased Adaptability. Reduced Risks: data-driven insights from AI facilitate proactive risk identification and mitigation strategies. Paper provides a concise overview of the syncretic management model for innovative projects. Subsequent sections will explore the core components of this framework in greater detail, delve into its practical applications, and discuss potential challenges and considerations for successful implementation.

The development of artificial intelligence (AI) is revolutionizing various industries, including IT project management. The object of research is the principle of augmented competence, which is a new approach that uses AI to strengthen and expand the capabilities of IT project teams. The essence of this principle lies in the complementary interaction of AI and the competence of project teams. Instead of replacing project managers, AI complements their competencies (knowledge, skills and experience). One of the hot spots is the application of AI in the process of automating routine tasks, analyzing large volumes of data and providing recommendations and predictions, freeing up time for team members to focus on more complex and creative tasks. The possibility of automating tasks and providing new knowledge, which will significantly improve the efficiency and productivity of the team, has been obtained through the use of the principle of augmented competence. As a result, data-driven recommendations and predictions enable teams to make more informed and effective decisions. Access to new knowledge and insights stimulates innovation and leads to new ideas and solutions, helps identify and mitigate potential risks, which can lead to more successful projects. Applying this principle to IT project management audits will automate software testing with AI, which replaces testers so they can focus on more complex types of testing such as exploratory testing, performs customer data analysis with AI, and enables companies to better understand your customers and their needs, which can lead to better marketing campaigns and products. It is important to note that this principle does not involve replacing project managers with AI. Instead, AI is used as a tool to empower human teams and help them achieve better results. As AI technologies continue to evolve, the principle of augmented competence is likely to play an even more important role in IT project management. AI can help teams overcome complex challenges, make better decisions, and succeed in a more dynamic and competitive environment.

The article analyzed the organizational models of project management and their applicability to the management of development projects of self-managed organizations. The task of choosing a model of interaction of development projects of self-managed organizations with the internal environment is set. The main organization, which includes members of the development project management team, is considered as the internal environment. A classification of models of interaction of development projects of self-managed organizations with the internal environment of such projects is proposed. Ten features of classification are defined: by the depth of management, by the type of management influences, by the type of subjects of interaction, by the type of organizational structure of the main organization, by the methodology within which interaction is carried out, by the level of quantitative complexity of interaction, by the localization of interaction, by the level of cross-culturally interaction, according to the degree of digitization of interaction, according to the interaction processing model. Identified varieties of models in boundaries of each feature of the classification. Three models of interaction of a self-managed development project management team with the main organization are proposed: A-model, in which interaction settings are carried out by the team; B-model, in which interaction settings are carried out by the main organization; C-model, within which the interaction takes place on the basis of arbitration between the settings of the team and the settings of the parent organization. Graphic schemes of the implementation of the specified models are provided, their description and characteristics are provided. A comparison of the processing models of the interaction of the project team with the internal environment was carried out. The advantages and field of application of each model are emphasized. A SWOT analysis was conducted, strengths, weaknesses, opportunities arising from the application of the specified family of processing models for the interaction of the self-managed project team with the internal environment within the scope of the syncretic project management methodology, and threats that may arise were highlighted. Formulated fields of further research in the chosen direction: formalization of models of interaction correction modules at the level of corporate methodology of a self-managed project-oriented organization, formalization of models of interaction arbitration module at the level of corporate methodology of a self-managed project-oriented organization, formalization of models of interaction of self-managed development project management teams with the external environment of such projects and the external environment of the main organization, the use of artificial intelligence elements in interaction correction modules and interaction arbitration modules within the syncretic methodology of managing development projects of self-managed organizations, practical testing of models of interaction of self-managed development project management teams with the internal and external environment of such projects within the framework of syncretic management methodology projects during the implementation by self-managed organizations of restoration projects (portfolios of projects) of the infrastructure of Ukraine. Conclusions from the conducted research are formulated.

Стаття присвячена тематиці аналізу аспектів проєктів впровадження синкретичної методології управління проєктами в проєктну діяльність самокерованих організацій. Проаналізовано етапи розвитку напрямку впровадження методологій і стандартів управління проєктами у практичну діяльність, виокремлено п’ять таких етапів. Проведено аналіз трьох основних складових цього проєкту: організаційної, управлінської та інструментальної. Аналіз організаційної складової здійснено щодо таких сутностей: тип організаційної структури, склад команди проєкту впровадження синкретичного підходу та компетенції учасників такої команди. Запропоновано склад команди впровадження синкретичного управління у діяльність проєктно-орієнтованої організації, наведено профілі кожної ролі (керівник проєкту, координатор впровадження і інтеграції елементів самокерованості, методолог синкретичного управління, ІТ фахівець). Аналіз управлінської складової здійснено щодо таких сутностей: впроваджувані методології в межах синкретичної системи, моделі управління самокерованою командою, моделі проєктних офісів. Наведено приклад моделі синкретичного управління, що була впроваджена для управління портфелем проєктів відновлення інфраструктури України, з використанням трьох методологічних підходів в межах синкретичної системи – методології на основі PMBOK, методології на основі PRINCE2 та методології організаційного розвитку Іцхака Адизеса. Аналіз інструментальної складової здійснено щодо таких сутностей: ІТ екосистема підтримки синкретичного управління; можливість реалізації алгоритмів інтерфейсів між складовими методологіями і синкретичним ядром; інструментальна реалізація комунікаційного середовища. У цьому контексті проаналізовано можливості, переваги і недоліки чотирьох типів ІТ інструментів (екосистем). Також було проведено узагальнений SWOT-аналіз запропонованого підходу. Окреслено перспективи подальших досліджень у обраному напрямку.

The technological innovation landscape is rapidly evolving based on the convergence of knowledge and artificial intelligence. This creates unprecedented opportunities and challenges for managing innovative projects. The object of this study is the system of syncretic management of innovative projects in the era of the artificial intelligence explosion. The problem addressed is related to the application of principles, models, and methods of syncretic management of innovative projects in the context of integrating various elements, including interdisciplinary collaboration, artificial intelligence technologies, and adaptive methodologies, to optimize project outcomes. The result of the research is a system of syncretic management of innovative projects that encompasses various aspects of management, innovation, and integration with artificial intelligence systems. The essence of the results outlines the stages of managing the life cycles of innovative projects, emphasizing resource allocation, risk assessment, and adaptive strategies. In the field of innovation management, the model includes methodologies for idea generation, technological scouting, and open innovation, recognizing the role of artificial intelligence in shaping the innovation environment. A crucial aspect of the model is the integration of artificial intelligence technologies throughout the project. The syncretic approach emphasizes cross-functional collaboration, creating an environment where different disciplines contribute to project success seamlessly. The importance of the proposed approach is associated with the integration of syncretic control with artificial intelligence systems based on additional competencies. The effectiveness of the practical application of systems of integrated syncretic management of innovative projects was evaluated in the process of analyzing the situation and preparing solutions many times faster, with a quality that exceeds existing systems

The increasing competition in the shipping market entails a constant increase in requirements for the efficiency of shipping companies. As practice shows, among the key means, that allow to notable increase in maritime transportation efficiency, are the implementation of innovative information technologies and project management methods. In this article, we introduce an implementation of a genetic algorithm with improved tour constraints that allows to increase the maritime route planning projects efficiency. We consider using genetic algorithms for maritime cargo transportation planning projects with such constraints as feeder capacity, accumulation intensity of cargo at the port and maximum route duration or time window. Such constraints are based on the specificity and intensity of maritime operations and bring the multiple travelling salesman problem for maritime cargo delivery closer to actual project conditions. Besides, the introduced restrictions allow for improvement in the search for a solution compared to a genetic algorithm that uses a maximum route length constraint and minimizes the number of involved feeders. Our tests show that the algorithm with improved constraints allows us to obtain a solution with real-world restrictions, which in turn increases the practical significance of the research. During the implementation of the presented constraints, the data set required to run the algorithm is enhanced, as well as a function that evaluates the results of the algorithm – the fitness function. The result of the research is a genetic algorithm capable of increasing the maritime route planning projects’ efficiency while adhering to specified constraints. In addition, a comparison of the new algorithm with an algorithm that is designed to find the shortest routes only is presented.

The relevance of developing models and methods of syncretic management for development projects of self-managed organizations is justified. The practical value of such models for infrastructure restoration projects in Ukraine is emphasized. The methodological approach of syncretic management to the implementation of infrastructure restoration projects was proposed, an analysis of the environment for the implementation of development projects of self-managed organizations was carried out, including the characteristics of the environment of the management models of development projects, suitable models of the life cycle of development projects and the main elements of the self-managed approach for use in the studied projects. Three characteristics of the life cycle model for development projects of self-managed organizations are defined, and a four-phase model is proposed: initialization, implementation, testing, and closure. The main elements of the self-managed approach were identified for use in the studied projects, consisting of seven such elements: the use of the principle of self-management, collegial decision-making, the absence of a formal leader, the assumption of responsibility by members of a self-managed team, self-determination of motivation, the use of holacracy models and methods, independent development of competence by participants teams Two models were proposed - α-model and β-model of management of development projects of self-managed organizations in a syncretic context. Visualization of the specified models, their description and comparative characteristics were provided. In the development of this approach, a complex model of management of development projects of self-managed organizations was also formalized in a syncretic context, in the form of a formal eight using set theory. a SWOT analysis of the proposed models was carried out, their strengths and weaknesses, opportunities and threats that may arise as a result of their use were highlighted. A conclusion was made based on the results of the SWOT analysis. Prospects for further research in the chosen direction were formulated. It was determined that the qualified implementation of the mentioned developments in the practice of infrastructure restoration projects will potentially increase the effectiveness of such projects and portfolios of such projects.