The article analyzes modern methods of planning and rescheduling schedules for software development projects in conditions of dynamically changing requirements and limited resources. The scientific task of optimizing the management processes of the development team through the dynamic allocation of tasks is formulated, which is relevant due to the need to quickly respond to changes in the production calendar and project input data. The proposed solution is based on the use of a genetic algorithm to automate schedule rescheduling, which allows taking into account key performance criteria such as minimizing downtime, optimal load distribution among employees, and compliance with technological dependencies between tasks. The analysis showed that the dynamic rescheduling technique is able to quickly adjust the initial schedule when new requirements appear or working conditions change, which significantly improves the quality of planning and increases the system's resilience to external changes. The results of the study confirmed that the developed approach allows achieving an optimal balance between the usefulness of the work performed and the cost of adjusting the plan. The data obtained indicate that the use of genetic algorithms for dynamic schedule management in software development projects is highly promising, which opens up opportunities for further research in the field of flexible management methods and adaptive resource allocation in conditions of uncertainty.

Keywords: genetic algorithms, optimization problems, schedule theory, project management, the problem of ordering projects with limited resources

Concepts of organizational queueing system and organizational queuing system of the type "ralway - marine port" are introduced. We prove an activity of the main components of these queuing systems and present their characteristics. Relative to this class of organizational systems we specify the control problems and formulate the viability conditions which are required to provide sustainability.

Keywords: control in organizatioal systems,interaction between railway and marine ports, sustainable development

The purpose of developing the model and algorithms is to improve the management of public training in the field of public protection and civil defense of the Republic of Tajikistan as an integrated system that combines a set of interconnected elements that form its emergence and are determined by a set of functional properties, hierarchy and multiplicity of descriptions, as a complex organizational system [1]. The research uses methods of analysis and systematization. In particular, John Cotter's model of change is used, which allows structuring the process of managing the training of the population at different levels. Algorithms have been developed that take into account different social groups and their specific needs. This makes public education programs more adaptable and accessible to everyone. The obtained training algorithms can serve as a basis for improving public training management in the field of public protection and civil defense by integrating them into functional and infological models. The mathematical model of assessing the readiness of the population makes it possible to identify weaknesses in the training of the population and develop specific measures to eliminate them. The developed training management model and algorithms contribute to the formation of a structured system focused on the real needs of citizens. This includes their active participation in ensuring security, which, in turn, contributes to the creation of a more secure and secure environment in the country. The results of the study can be the basis for further development of the civil defense system in Tajikistan and improvement of training in the field of public protection and civil defense in emergency situations.

Keywords: civil defense, public training system, public training model, public training management, Republic of Tajikistan

In this work, an approach is considered, which makes it possible to obtain scientific-based management decisions on the development of organizational systems. The purpose of the work is to show in a particular example the development of a fuzzy cognitive model development process, to analyze the model for sustainability, to determine the activation vertex complexes. The toolkit for describing and analyzing a fuzzy cognitive model is based on the basic concepts of fuzzy graph theory. Simulation results are given, directed to the development of possible scenarios for the development of situations of a socio-economic system of the Rostov region. The results are clearly illustrated by examples of fourteen scenarios, the matching of which to the main factors made it possible to determine a plurality of pessimistic and optimistic and to give recommendations to the face receiving the decision.

Keywords: control, organizational system, cognitive model, simulation modeling, fuzzy graph, sustainability

Urban water supply systems in Iran and Turkey are facing increasing pressure due to leakages, inefficient resource use, and lack of a proactive management approach. This study proposes an integrated engineering model combining Internet of Things (IoT) sensors, a loss calculation algorithm (ΔQ), and a multi-criteria demand analysis (MCDA) method to identify, prioritize, and fix water leaks in urban infrastructure. The developed system, named Smart Leak, was tested in pilot areas of Tehran (District 3) and Istanbul (Beyoğlu District) where real-world data collection and expert assessment were carried out. The model includes a digital monitoring architecture, dashboards, an alert system, and integration with Google Sheets and App Sheet. The results showed a 27% reduction in leak detection time, improved prioritization accuracy, and improved resource allocation efficiency. In addition, the MCDA–LCA criteria heat map highlighted the priority of environmental factors in decision making. The developed approach demonstrates scalability, adaptability and suitability for application in cities experiencing water shortages. The system can be integrated into smart city platforms for sustainable water management.

Keywords: sustainable development, environmental project management, socio-economic effects, renewable energy, circular economy, waste-to-energy recycling, urban infrastructure, Tehran, Mashhad, Isfahan, Shiraz, Istanbul

The article shows the importance of the role of clinical engineering departments to ensure high-quality comprehensive control of the state of medical equipment at all stages of its life cycle. The main resource of such departments is the competence resource of clinical engineers and their working time resource. In order to rationalize the use of these resources, we systematized the causes of failures of medical devices. Based on this, a number of general metrics were developed that characterize the adaptability of clinical engineering departments to the conditions of a specific medical institution, such as the competence profile of the department and the profile of the need for technical maintenance of medical devices. The use of these data made it possible to formalize the algorithm for managing the clinical engineering department, aimed at maximizing the useful use of the human capital of these departments.

Keywords: clinical engineering, clinical engineer, time budget, performance metrics, medical device maintenance

The article proposes a concept of spatially-oriented risk management in territorial systems, taking into account the relationship between threats, development goals and measures of influence. The model is based on the geographical distribution of factors and assumes scenario analysis of spatial changes. Particular attention is paid to integration with regional geoportals as means of visualization, data aggregation and decision support. The role of risks not only as constraints, but also as sources of transformation is emphasized. The presented approach is aimed at increasing the adaptability of management, coordinating spatial interests and developing an analytical infrastructure capable of supporting strategic planning in the context of natural and socio-economic instability.

Keywords: geographic information system, geoportal, risk analysis, spatial data, geosystems, geographically distributed organizational system

The article analyzes traditional and flexible project management methodologies, their key features, advantages and limitations. Traditional methodologies such as the waterfall model and the critical path method rely on sequential planning that is suitable for projects with fixed requirements. Agile methodologies (Agile, Scrum) are highly adaptable, which is important for projects with frequent changes. The authors compare the conditions of application of both approaches and describe the criteria for choosing a methodology depending on the type and dynamics of the project. The article will be useful for both practitioners and researchers in the field of project management.

Keywords: project management, project management methodology, cascade model, critical path method, program evaluation and review technique, agile software development, critical path method

In the article the sustainability of the network model of districts within the subsidized region is investigated both in terms of each of their dynamic parameters: fixed assets, labor population and its efficiency; and in their combination. In addition, the problem of the lower level in the hierarchical system is solved in the form of a Nash equilibrium – optimal district strategies are found for a given known distribution of subsidies by the region between them. It has been revealed that if there are subsidies to the district, agents do not care how much money is allocated to the development of the district, since all consumption of the district is provided by subsidies, and there are no subsidies to the district, it has to spend 90% of gross product to invest in production.

Keywords: continuous dynamic model, discrete dynamic model, subsidized region, target functions, share of investments, relationships between districts, fertility rate, mortality rate, fixed assets, labor population, Nash equilibrium

Distributed data storage systems (DSS) are multi-parameter, complexly configurable systems. Fault tolerance and reliability of DSS data storage are ensured by a set of different methods. To assess the efficiency of new methods, it is convenient to use software tools that simulate the operation of DSS. The purpose of this work is to study the existing software simulators of DSS to assess the potential of their use. The study is based on the analysis of several software simulators that model the operation of DSS. The analysis took into account such parameters as the choice of the redundancy introduction method, the data placement method, the data recovery algorithm after failure, and the choice of storage architecture. The results of the study show that simulators offer a wide range of options for modeling fault tolerance, but some of them demonstrate greater efficiency in some scenarios. A generalized structural diagram of the simulators is built, revealing the features of the architecture and principles of operation. The CR-SIM simulator has the greatest functionality, but its source codes and executable file are not available. Simulators with open source code do not have a flexible architecture for their expansion with new methods. The сonclusion is made about the need to develop a new simulator in the form of an open source software tool, the architecture of which is designed for its expansion. Such a simulator will allow testing new developments in the field of fault tolerance enhancement technologies.

Keywords: data storage system, fault tolerance, erasure codes, software simulator, dependability, simulation model

An optimization model has been developed for the minimum required number of employees carrying out transport security measures included in transport security units, taking into account the algorithm for distributing employees, including various groups according to individual functions performed at different security levels, as well as the likelihood of various threats to transport security.

Keywords: transport strategy, digitalization of transport security, cost optimization, transport security units, requirements for ensuring transport security

The study is devoted to the development of electronic and distance learning tools for mastering the skills of applying mathematical methods by specialists in the field of automated systems development. The concept (structure) of an automated information system (AIS) for managing the life cycle of exercises to study optimization methods has been developed and schematically presented. An important element of decision support in the AIS is software simulators (training and training components) that generate exercise options and automatically check them based on the properties of mathematical models of optimization problems. An algorithmic and prototype software for the training subsystem for monitoring the skills of solving optimization problems have been developed. Variations in the interfaces for constructing a mathematical model for an optimization problem by a student when performing an exercise in the AIS are demonstrated. Building a model in the interface and, accordingly, the complexity of the exercise depends on the number of model parameters that can be changed by the student. The simulator provides an integral assessment of the student's actions when performing the task. The introduction of the simulator into the digital educational environment of the university will automate and simplify the implementation of current and intermediate control of knowledge and skills in the disciplines studied.

Keywords: optimization problems, mathematical programming, decision support, software simulator, mathematical modeling of systems and processes, visual modeling

The article discusses the development of the 'Service-02' chatbot, designed to receive and register reports of crimes, administrative offenses, and incidents at the police station. The algorithm of the chatbot's operation, its architecture, and main functional capabilities are described. Particular attention is paid to the advantages of using the chatbot to improve the efficiency and quality of interaction between citizens and law enforcement agencies. The stages of development and prospects for further system development are analyzed. The article highlights the significance of digitalization in police work and its impact on improving public safety.

Keywords: chatbot, duty unit, Ministry of the Interior of Russia, police, digitalization, Service-02, internal affairs agencies, Telegram

The article is devoted to the development of a methodology for forming student groups to optimize learning. The study includes a mathematical model and methods for its optimization. The development of a key model for optimizing the schedule and improving learning efficiency is planned.

Keywords: class scheduling, scheduling algorithms, class schedule, academic workload, automated information system, computer simulation experiments, resource allocation

A current method for finding optimal solutions for urban traffic management is modeling, including traffic micromodeling. Micromodeling is understood as simulation modeling of a section of the street-road network with a level of detail down to an individual vehicle within specialized software. The article addresses the issue of managing the traffic organization process using micromodeling at the municipal level. In smaller cities, executive authorities may lack specialized experts in traffic flow micromodeling. This article formalizes approaches for conducting research on traffic organization micromodeling in street-road network sections. It also formalizes methods for managing the traffic modeling organization process at the municipal level. As a solution to the problem under consideration, it is proposed to apply the mechanism of the organizational-administrative management method "cross-control" with mutual verification of one executor by another within the framework of contractual relations between the municipality and contractors.

Keywords: municipality, modeling, micromodeling, traffic management, cross-control

Using the example of the Burzyanskaya SES (Republic of Bashkortostan), operating in an autonomous mode from the power grid, the possibilities of using renewable energy sources (RES) and energy storage systems (ESS) are described. The tasks of ESS in the power system are considered: stabilization of frequency and voltage, optimization of load, reduction of electricity losses. An analysis of the economic efficiency of the implementation of ESS is carried out.

Keywords: electric power grids, renewable energy sources, energy storage systems, isolated systems, power supply

This article is devoted to the development of an innovative decision-making model in organizational systems based on the integration of stable, compositional and stylistic elements of communication. The paper analyzes modern theoretical approaches to decision-making modeling, such as the theory of bounded rationality and game theory, and highlights the role of stable and stylistic statements in effective communication within organizations. The authors propose a concept that includes genre features of communication and methods of cognitive modeling to improve the adaptability and effectiveness of management processes. Practical cases, in particular the use of models at IBM, confirm the possibility of optimizing processes and reducing decision-making time. The proposed model helps to improve the interaction of participants, improve the quality of solutions and the adaptability of organizations to rapidly changing environmental conditions.

Keywords: decision-making, organizational management system, the concept of decision-making modeling, genre-forming communication, decision-making modeling

The article is devoted to the automation of the process of managing road construction works at a manufacturing enterprise. Among the means of communication in Russia, highways are in the first place in terms of length. Construction of new roads, repair and bringing the existing roads to regulatory requirements is a complex process that can be characterized as a project. The process of project-oriented management of road construction works is formalized, project limitations are defined. The enlarged milestones of project-oriented management of road construction works are highlighted, including the stages of initialization and implementation. The categories of system users and their functions are defined. A class diagram of the information system for managing road construction works is provided. An algorithm for the operation of an automated system for managing road construction works based on a project-oriented approach is developed and described in detail. Formalization of the calculation of the percentage of project readiness is carried out based on the significance coefficient. Examples of implementing the algorithm stages in the information system and generating analytical reports in the system are given. The reports generated in the system are described in detail. The economic efficiency of the proposed automation system is substantiated.

Keywords: road construction works, project-oriented management, highway, automation, reporting, significance coefficient, project, project resources, performance indicator, construction, repair

In the article a cognitive map of an organization whose activities are related to the sale of rolled metal products is presented. The constructed map is investigated analyzing the impulse processes occurring in the constructed system. It is assumed that the system may be affected by random factors such as economic and social crises, examples of which may be a lockdown during a pandemic, military actions in the country, sanctions, etc., as well as weather conditions, which, although accidental, are more predictable than economic and social cataclysms. The processes are investigated for impulse and absolute stability. The possibilities of increasing stability in the system are analyzed. The methods of increasing stability in the system are proposed in order to preserve profits in the rolled metal sales enterprise.

Keywords: cognitive map, metal rolling realization system, socio-economic cataclysms, weather conditions, impulse processes, impulse stability, absolute stability, petal sequence, characteristic polynomial, positive and negative cycles

The article presents the results of the analysis of the architecture of robotic technologies used in warehouse logistics. The following methods of architecture optimization are identified: multifunctionality, modularity, swarm intelligence, and the implementation of several operating modes. Based on the analysis, a conceptual model of a robot for inventory of warehouse premises was created. The main advantages of the model are: the possibility of using the robot outside working hours due to the presence of an autonomous operating mode; application for inventory and for joint work with other robots (coordination of the movement of ground robots); the presence of an interchange algorithm that ensures fault tolerance and a partial solution to the problem of the limited operating time of the robot from the battery.

Keywords: robotic technologies, drones, modularity, swarm intelligence, fault tolerance, warehouse logistics

The article presents a comprehensive analysis of a systematic approach to the implementation and development of innovative information technologies aimed at preventing offenses committed by foreign citizens. The introduction provides an overview of the growing importance of employing advanced technological solutions in law enforcement, particularly in addressing challenges associated with foreign nationals. The main objectives of the study are to explore how the integration of technologies such as big data processing, artificial intelligence, and geographic information systems can enhance the efficiency of preventive measures. The article details the use of data analysis techniques, machine learning models, and system integration to create a unified information platform. This platform enables the consolidation of data from diverse sources, thereby improving the coordination between different law enforcement units and facilitating faster and more informed decision-making processes. The integration of these technologies also supports process standardization, reducing data inconsistencies and ensuring more reliable operations across various departments. The results highlight the benefits of utilizing big data analytics to process vast amounts of information that would be otherwise impossible to handle efficiently. Artificial intelligence, through predictive models and risk assessment tools, plays a crucial role in identifying potential threats and allocating resources effectively. Geographic information systems contribute by mapping crime hotspots and providing spatial analysis, which aids in targeted intervention strategies. The discussion emphasizes the importance of a unified approach to technology implementation, focusing on the creation of an integrated information system that can adapt to ongoing changes in the social and legal environment. The adaptability of the system is critical for maintaining its effectiveness in the face of new challenges and evolving regulatory requirements. The development of standardized data collection and processing protocols further enhances the system's resilience and operational efficiency. In conclusion, the article underscores that a systematic and integrated use of innovative information technologies significantly improves the effectiveness of crime prevention efforts and the overall efficiency of law enforcement agencies. The proposed approach not only facilitates proactive measures but also ensures a high level of responsiveness to emerging security threats, thereby strengthening public safety.

Keywords: systemic approach, innovative information technologies, crime prevention, foreign citizens, big data, artificial intelligence, geoinformation systems, information platform, standardization, law enforcement agencies, efficiency management, data integration

The article considers the issues of risk management in the implementation of investment construction projects in the oil and gas industry. The author's classification of risks, methods for assessing project risks are presented and directions for reducing risks in the implementation of construction projects in the oil and gas industry are proposed. The author attempts to determine the importance of the risk of uncertainty in the implementation of oil and gas projects in the context of instability of economic and political factors.

Keywords: risk assessment, risk of uncertainty, project management, oil and gas industry, investment construction project

The main maintenance of a diversification of production as activity of subjects of managing is considered. being shown in purchase of the operating enterprises, the organizations of the new enterprises, redistribution of investments in interests of the organization and development of new production on available floor spaces. The most important organizational economic targets of a diversification of management are presented by innovative activity of the industrial enterprise.

Keywords: construction, lean manufacturing, process approach, value creation process, IDEF0 notation, kpi

The current problems of the construction industry are considered and an algorithm for the introduction of modern, flexible management methodologies to improve the efficiency of the management process in construction design organizations is proposed, as well as a variant of an integrated efficiency assessment system taking into account KPIs is being developed.

Keywords: construction, design organizations, KPIs, flexible management, Agile, Lean manufacturing, stakeholders, efficiency

Modern digitalization processes involve the use of intelligent systems at key stages of information processing. Given that the data available for intelligent analysis in organizational systems are often fuzzy, there is a problem of comparing the corresponding units of information with each other. There are several known methods for such a comparison. In particular, for random fuzzy variables with known distribution laws, the degree of coincidence of these distribution laws can be used as a criterion for the correspondence of one random variable to another. However, this approach does not have the necessary flexibility required to solve practical problems. The approach we propose allows you to compare fuzzy, fuzzy and clear, as well as clear and clear data. The paper will provide an example illustrating this approach. The material presented in the study was initially focused on managing organizational systems in education. However, its results can be extended to other organizational systems.

Keywords: fuzzy data, weakly structured problems, comparison criteria, hierarchy analysis method, systems analysis, fuzzy benchmarking