Complex Hierarchical Systems Research Articles

Investigating challenges in Agile software development: a cross-country comparative analysis

Agile software development has been a significant methodology in software engineering for over two decades, offering enhanced adaptability to software requirement changes, improved delivery, and better quality. However, prevalent misunderstandings in Agile implementation have limited its benefits. Hence, this study investigates the challenges faced during Agile implementation. Initial analysis was carried out from cases in Indonesia, a leading country in the software industry within the Asia-Pacific region. Using Kitchenham’s systematic literature review (SLR) methodology, fourteen distinct obstacles were identified from a database of research reports on Agile software development in Indonesia. Subsequent interviews with Agile experts in the country were conducted to validate the SLR findings. The results emphasize the critical need for a top-down strategic approach, the active participation of senior management, and the essential roles of competent scrum masters or Agile coaches. A comparative analysis with reports from other developing countries Saudi Arabia, India, Malaysia, Brazil and developed countries the UK, Belgium, Singapore, and the USA reveals common challenges. They highlight the imperative for proactive upper management leadership to steer successful Agile adoptions, particularly in organizations with entrenched top-down practices and complex hierarchical systems.

Integrating agent-based modeling and game theory for optimal water resource allocation within complex hierarchical systems

Effective water resource management in hierarchical systems is challenged by competing stakeholder interests, imperfect rationality, legislative constraints, varying hydrological conditions, and economic pressures. Traditional methods, such as agent-based models (ABM) and game theory (GT), have been applied separately to allocation problems but often fail to capture the dynamics of partial cooperation among stakeholders. This study addresses this gap by presenting a novel framework that integrates ABM and GT techniques—including the Shapley value (SV), least core (LC), weak least core (WLC), and proportional least core (PLC)—for conflict resolution and optimal water allocation. The integrated ABM-GT framework simulates real-world scenarios by modeling the dynamics of partial cooperation, where agents iteratively adjust their resource contributions over time based on outcomes. The ABM component captures the adaptive behaviors of agents, while the GT component provides mechanisms for the fair allocation of benefits. The framework is applied to a case study of the Roodbal basin in Fars province, Iran, which comprises four agricultural zones facing significant water management challenges due to droughts and legislative constraints. Results from a 15-year simulation demonstrate that the ABM-GT framework enhances stakeholder cooperation and responsiveness. Partial cooperation among farmer agents led to an increase in net benefits by up to 150% compared to non-cooperative scenarios during dry years, with the maximum net benefit reaching $211.53 million using the PLC method. Agents with higher economic potential were more responsive to incentives, while those with lower economic potential increased their cooperation in response to water shortages. Specifically, the overall average contribution to the coalition increased from 36% to 52% for zones 3 and 4 during periods of water scarcity.

Methodical approach to assessing the state of hierarchical systems using a metaheuristic algorithm

The object of the study is hierarchical systems. The subject of the study is the process of assessing the state of hierarchical systems using the advanced antlion algorithm (ALA), an advanced genetic algorithm and evolving artificial neural networks. The problem solved in the study is to increase the efficiency of assessing the state of hierarchical systems, regardless of the system hierarchy level. The originality of the study is that: – the initial setting of ALA is carried out taking into account the type of uncertainty using appropriate correction factors for the degree of awareness of anthill location (priority search directions); – the initial velocity of each ALA is taken into account, which allows determining the priority of search by each ALA in the specified search direction; – the fitness of ALA hunting locations is determined, which reduces the time for assessing the state of the hierarchical system; – the use of the procedure of global restart of the algorithm, which allows the algorithm to go beyond the current optimum and improve the exploration ability of the algorithm, which reduces the time for assessing the state of hierarchical systems; – the possibility of clarifying the choice of an anthill at the hunting stage due to ranking anthills by the level of ant pheromone; – improved ability to select the best ALA in comparison with random selection using an advanced genetic algorithm, which improves the reliability of assessing the state of complex hierarchical systems. The proposed methodical approach provides a 22–25 % increase in the efficiency of assessing the state of hierarchical systems by using additional advanced procedures. The proposed methodical approach should be used to solve the problems of assessing the state of complex hierarchical systems under uncertainty and risks characterized by a high degree of complexity.

Simulation and Optimisation of Business Process Management: Case Study of IT Company

Abstract Background In managing business processes of complex hierarchical systems, primary attention is given to analysing, accelerating, and optimising the basic processes typical for any company. Objectives The goal of this work is to prove that while managing business processes, it is crucial to consider the peculiarities of the external and internal environment to determine the effects of individual triggers. Method An example of business process analysis was provided regarding the peculiarities of managing IT service companies operating in a dynamic environment of rapid technological changes. The business processes analysis of IT service companies in Ukraine was conducted. Business process groups characterised by low use of labour and financial resources and excessive and high levels of risk management were determined. Results An algorithm for optimising the IT company’s business processes was developed. Simulation and optimisation models for managing IT company business processes were developed using scenario modelling and simulation techniques. Conclusion Based on these models, a predictive evaluation of management impacts on business processes was conducted, representing individual clusters according to defined management strategies.

Поиск множества допустимых управленческих решений в технических системах

Scientific and technological progress leads to a continuous increase in the number and complexity of designed systems, as a result of which there is a need to create modern information and intelligent decision support systems. Such systems will make it possible to predict various scenarios of management decisions, which in turn helps to increase the efficiency and quality of the project. Effective use of automation in the search for management decisions can reduce the time spent on analysis, improve the quality of decisions made and increase the overall productivity and competitiveness of the organization. The purpose of this work is to substantiate the scientific approach to the issue of automated search for acceptable management solutions in technical systems. To describe management decisions, a concept is proposed that allows one to compactly depict the structure of complex hierarchical systems. Many solutions are described, and the problem of finding acceptable management solutions is formulated. A system for automated search for management decisions is described. An algorithm is presented for searching solutions that are feasible with respect to a certain condition from a set of possible ones, based on removing the vertices of the search tree that are invalid according to the specification. A description of the automation of building a model of many technical solutions is presented. Using a model to search for a set of acceptable management decisions allows you to more accurately predict various scenarios for the management decision made and helps to increase the efficiency and improve the quality of the project.

Сучасна парадигма безпеки управління розвитком складних ієрархічних систем

The restructuring of the national economy, the processes of transformation taking place in it, actualize the problems of controlled vector development of complex hierarchical systems in the economy. The purpose of this study is to analyze the theoretical and methodological aspects of the development of complex hierarchical systems (CIS) in the economy in the context of unpredictability and stochasticity of the external and internal environment, as well as the uneven development of socioeconomic processes that require controlled vector development. It is the controllability of the vector development of the CIS that makes it possible to ensure the security of the processes of non-linear development of the CIS. The object of the research is the processes of non-linear development of the CIS in the conditions of unpredictability, stochasticity of the external environment and uneven development of socioeconomic processes caused by globalization transformations of the world economy. The study used general and special methods to achieve the goal and solve the tasks. The general methods include the abstract and logical method, which was used to explain the theoretical foundations of the security of the development of complex hierarchical systems, and the methods of theoretical generalization, system and behavioral-economic analysis, which helped to formulate the qualitative goals and objectives of the CIS, identify the problems of managing controlled dynamic processes, conduct a critical analysis of development concepts and find out the genesis of approaches. Special research methods include system-structural analysis, which was used for the formation, selection and implementation of hypotheses, construction of forecasts, and the system approach and methods of analysis and synthesis, which helped to identify and aggregate the qualitative characteristics of the concept of management of secured development of CIS. As a result of the application of these methods, a synergistic approach to the management of CIS processes was achieved and the problems related to stochasticity and uncertainty of the external and internal environment, uneven development of socioeconomic processes and other factors affecting the security of the development of the intellectual economy are addressed. The influence of endogenous and exogenous factors on the development of CIS is substantiated. A methodology based on process-functional management has been proposed to analyze the level of development of the CIS, which can help to increase the efficiency of the use of production resources. The conception of modeling mechanisms for the development of information security systems (ISS) based on the transformation of management processes and investment processes has been developed.

Spatial characteristics and cultural factors of Yi nationality traditional dwellings based on spatial syntax

The spatial layout of traditional residential houses is closely related to national and regional characteristics and culture. The traditional village of Yi nationality is selected, and the organization structure of the outside village and the inside living space is studied through the graphical and quantitative analysis method of space syntax. The primary purpose of this study is to analyze the spatial characteristics of Yi dwellings and infer the cultural factors behind them. To explore how to integrate traditional spatial characteristics into contemporary design and promote the preservation and inheritance of architectural culture. The results show that 1) the outer village space of residential houses is characterized by weak identifiability, compact and loose organizational structure, weak permeability, and weak accessibility; 2) The interior space of dwellings presents a spatial layout with the main room and courtyard as the core as a whole. The interior space of dwellings is abundant and flexible, and the accessibility of ancillary functional space is weak. 3) The cultural causes of the formation of these spatial features include complex landforms, family systems, hierarchical systems, semi-agricultural and semi-pastoral production modes, the concept of valuing family harmony, the use of regional materials, respect for nature, fire worship, etc. 4) The spatial characteristics of traditional dwellings are inherited in contemporary dwellings. Fuzzy elements can be added in villages according to family relations, and characteristic Spaces such as courtyards and fire ponds in traditional dwellings can be preserved.

The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm

The scientific task, which is solved in the research, is to increase the efficiency of the evaluation of complex hierarchical real-time systems. Finding solutions to nonlinear optimization problems and especially global optimization problems is one of the most popular problems in computational mathematics. In applied problems, the objective function, as a rule, has a large number of variables, is not given in an analytical form and is calculated as some integral characteristic of a complex dynamic process. The development of effective methods, to a certain extent adaptive to the variability of the objective function, is especially relevant in connection with the development of computer technology and the possibility of using parallel computing systems. The conducted research was aimed at developing a method of evaluating complex hierarchical systems based on an improved particle swarm. At the same time, the object of research was complex hierarchical real-time systems. The subject of research is the functioning of real-time hierarchical systems. The novelties of the proposed method consist in: ‒ creating a multi-level and interconnected description of complex systems of hierarchical real-time systems; ‒ increasing the efficiency of decision making while evaluating complex systems of hierarchical real-time systems; ‒ solving the problem of falling into global and local extremes while assessing the state of complex systems of hierarchical real-time systems; ‒ the possibilities of directed search by several individuals of the particles swarm in a given direction, taking into account the degree of uncertainty; ‒ the possibilities of re-analysis of the state of complex systems of hierarchical real-time systems; ‒ avoiding the problem of loops while visualizing the state of the national security system in real time. It is advisable to implement the specified method in specialized software, which is used to analyze the state of complex systems of hierarchical real-time systems and make management decisions.

The development of a method for assessing the security of complex technical systems using artificial immune systems

Ensuring the security of complex technical systems of various functional purposes requires a constant search for new scientific and practical approaches in order to ensure its proper level against a growing list of new risks and threats. Nowadays, no state in the world is able to work on the creation and implementation of artificial intelligence in isolation from others. Artificial intelligence technologies are actively used to solve both general and highly specialized tasks in various spheres of society. The problem of synthesis of management of complex technological processes is an urgent task in management theory. A promising direction in the design of such complex ones is the use of bio-inspired algorithms that are effectively used while solving optimization tasks. Thus, the object of research is complex technical systems. The subject of research is the state security of complex technical systems. The research developed a method for assessing the security of complex technical systems using artificial immune systems. The novelty of the proposed method consists in: ‒ taking into account while calculating the correction factor for the degree of uncertainty about the state of a complex technical system; ‒ reducing computing costs while assessing the state of a complex technical system; ‒ improved implementation of procedures for solving the task of influencing relationships in a complex technical system; ‒ creating a multi-level and interconnected description of hierarchical complex technical systems; ‒ the possibility of performing calculations with source data that are different in nature and units of measurement. It is advisable to implement the mentioned technique in specialized software, which is used to analyze the state of complex technical systems and make decisions.

Improvement of demand fulfillment in Advanced Planning System through decentralized decision support system

In a tight supply situation, industries such as the semiconductor sector face challenges in allocating supply to customers through complex hierarchical supply chain planning systems, which involve the use of Advanced Planning Systems (APS) and human planners in updating allocation plans. This article focuses on designing, developing, and testing a prototype Decision Support System (DSS) based on a mathematical model to assist human planners and improve demand fulfillment systems in APS when demand exceeds supply. By incorporating digitalization and supporting human interventions in planning, our approach enhances these systems.The bi-objective mathematical model aims to maximize customer service levels while maintaining a maximum amount of stock available for unforeseen planning situations. We developed the proposed mathematical model into a web application decision support tool, called the Regional Customer Allocation Support Tool (ReCAST). The ReCAST prototype was applied to a semiconductor case study, demonstrating its effectiveness in supporting decision-making processes by planners in a real-world context.

Examining the differential risk from high-level artificial intelligence and the question of control

Artificial Intelligence (AI) is one of the most transformative technologies of the 21st century. The extent and scope of future AI capabilities remain a key uncertainty, with widespread disagreement on timelines and potential impacts. As nations and technology companies race toward greater complexity and autonomy in AI systems, there are concerns over the extent of integration and oversight of opaque AI decision processes. This is especially true in the subfield of machine learning (ML), where systems learn to optimize objectives without human assistance. Objectives can be imperfectly specified or executed in an unexpected or potentially harmful way. This becomes more concerning as systems increase in power and autonomy, where an abrupt capability jump could result in unexpected shifts in power dynamics or even catastrophic failures. This study presents a hierarchical complex systems framework to model AI risk and provide a template for alternative futures analysis. Survey data were collected from domain experts in the public and private sectors to classify AI impact and likelihood. The results show increased uncertainty over the powerful AI agent scenario, confidence in multiagent environments, and increased concern over AI alignment failures and influence-seeking behavior.

MAIN PROVISIONS OF THE METHODOLOGY FOR ASSESSING THE EFFICIENCY OF THE FUNCTIONING OF THE SYSTEM FOR COLLECTION OF TROPHY SAMPLES OF ARMAMENT AND MILITARY EQUIPMENT

Analysis of the experience of the russian-ukrainian war shows that the issue of collecting trophy samples of weapons and military equipment has not been investigated. This determines the relevance of conducting research on the specified issue. The article analyzes the requirements of the governing documents regarding the procedure for collecting trophy samples of weapons and military equipment. Inconsistencies in approaches to the collection of trophy samples of armament and military equipment have been identified, which must be resolved. Decomposition of the existing system of collection of trophy samples of armament and military equipment of groups of troops (forces) was carried out, functional relationships between the elements of the system were studied, which made it possible to substantiate the indicators and develop a methodology for evaluating the effectiveness of the system of collecting trophy samples of weapons and military equipment of groups of troops (forces). In the course of the mentioned study, the authors used general scientific methods of analysis and synthesis: analysis during the decomposition of the existing system of collecting trophy samples of armament and military equipment of groups of troops (forces), synthesis and evaluation of complex hierarchical systems – in the course of developing a methodology for evaluating the effectiveness of the system of collecting trophy samples of armament and military equipment of a group of troops (forces). It is advisable to use the proposed methodology in the course of assessing the capabilities of the system for collecting trophy samples of armament and military equipment of groups of troops (forces).

Development of the method for evaluating the efficiency of functioning of the trophy samples of weapons and military equipment

An analysis of the experience of the Russian-Ukrainian war shows that the issue of collecting trophy samples of weapons and military equipment has not been investigated. This determines the relevance of conducting research on the specified issue. The object of research is the system of collecting trophy samples of weapons and military equipment. The subject of the research is the effectiveness of the system of collecting trophy samples of weapons and military equipment. Inconsistencies in approaches to the collection of trophy samples of weapons and military equipment have been identified, which must be resolved. Decomposition of the existing system of collection of trophy samples of weapons and military equipment of groups of troops (forces) was carried out, functional connections between the elements of the system were studied, which made it possible to substantiate the indicators and develop a method for evaluating the effectiveness of the system of collecting trophy samples of weapons and military equipment of a group of troops (forces). In the course of the research, the authors used general scientific methods of analysis and synthesis. The analysis method was applied during the decomposition of the existing system of collection of trophy samples of weapons and military equipment of groups of troops (forces). The methods of synthesis and evaluation of complex hierarchical systems were used in the course of developing the method for evaluating the effectiveness of the system of collecting trophy samples of weapons and military equipment of a group of troops (forces). The proposed method is based on analytical dependencies that allow to evaluate the effectiveness of the system of collecting trophy samples of weapons and military equipment and is universal, It is advisable to use the proposed method in the course of assessing the capabilities of the system for collecting trophy samples of weapons and military equipment of groups of troops (forces).

Research on behaviour planning for power substation inspection robot based on fuzzy cognitive map

A fuzzy cognitive map based behavior planning method for mobile robot is proposed in this paper. Aiming at the intelligentialize advanced application problems of power substation equipment inspection robot, a logical structure of inspection tasks planning based on hierarchical hybrid complex system is presented, and the operating principle of task decomposition and task planning are given in detail. The dependent events in inspecting tasks are considered as concept nodes to present the connection weights between nodes and establish the fuzzy cognitive map model of task and behavior planning, so as to realize task decomposition and generate the action logic sequences. Meanwhile, the action sequences can be adjusted in real time with the sensor information. The proposed method is simple without introducing complicated calculations and much training. Simulation results verify the feasibility and effectiveness.

Development of the method of increasing the efficiency of information transfer in the special purpose networks

The features of modern military conflicts require significantly increasing requirements for the efficiency of determining a rational route for the transmission of information. It is necessary to develop algorithms (methods and techniques) that are able for a limited time and with a high degree of reliability to determine the rational route of information transmission in complex hierarchical information transmission systems. The following tasks were solved in the research: the task of information transfer in special purpose networks was set; the algorithm of realization of a method of efficiency increase of information transfer is defined; simulation of the process of information transfer in the communication networks of a group of troops (forces) was carried out. The essence of the proposed method is to use the ant algorithm and their further training. The method has the following sequence of actions: input of initial data; determining the degree of uncertainty and noise of the original data, determining the set of acceptable solutions, determining belonging to a certain class. The next step is to determine the route of information transfer, taking into account the impact of destabilizing factors, taking into account computing power and training ants. The novelty of the method is to take into account the type of uncertainty and noise in the data and take into account the available computing resources of the communication network. The novelty of the method also lies in the use of advanced training procedures using the apparatus of evolving artificial neural networks and selective use of system resources by connecting only the required number of agents (ants). The method allows to build a rational route of information transfer taking into account the influence of destabilizing factors. The use of the method allows to achieve an increase in the efficiency of information transfer at the level of 11-16% through the use of additional advanced procedures

ИНСТРУМЕНТЫ ОПТИМИЗАЦИИ МНОГОЧАСТИЧНОГО ФИЛЬТРА ДЛЯ ВЕРОЯТНОСТНЫХ МОДЕЛЕЙ ДИНАМИЧЕСКИХ СИСТЕМ

В работе предложены математические инструменты на основе достаточных статистик и декомпозиции выборок в сочетании с алгоритмами распределенных вычислений, позволяющие существенно повысить эффективность процедуры фильтрации. Filtering algorithms are used to assess the state of dynamic systems when solving various practical problems, such as voice synthesis and determining the geo-position and monitoring the movement of objects. In the case of complex hierarchical dynamic systems with a large number of time slices, the process of calculating probabilistic characteristics becomes very time-consuming due to the need to generate a large number of samples. The essence of optimization is to reduce the number of samples generated by the filter, increase their consistency and speed up computational operations. The paper offers mathematical tools based on sufficient statistics and sample decomposition in combination with distributed computing algorithms that can significantly improve the efficiency of the filtering procedure.

Моделювання нестійкості розвитку складних ієрархічних систем

The article suggests using modern instruments of dynamic analysis, i.e. the theories of phase, cointegration, and bifurcation analysis and the catastrophe theory to improve the methodology to study the dynamic pattern of the development indices of complex hierarchical systems (CHS) and their relationship. The article elaborates the main directions for creating research models, which would describe the interaction between the development indices of CHS, grounded on estimating and analyzing pre-crisis, crisis and post-crisis phenomena in hierarchical social and economic territorial systems. A conceptual framework algorithm is designed to model the dynamic pattern of the CHS development using modern economic and mathematical instruments to study the dynamics of time-series data and assess the relationship of CHS indices. Complex models have been implemented to monitor the key CHS development indices based on the phase and cointegration analysis of the relationship between the following processes: investment and GDP; GDP and industrial production dynamics; GDP dynamics and import volumes dynamics; wages dynamics and industrial production dynamics; migration and natural population growth. As part of the implementation of a comprehensive model for monitoring key indices of CHS development based on bifurcation analysis and the catastrophe theory, the supercritical Hopf bifurcation is built in the relationship model of imports and GDP; surfaces of the functions of Kaldor’s model and a three-dimensional Kaldor’s model are constructed. The suggested complex toolkit for research models of the CHS development instability gives us the opportunity to draw conclusions about the reasons and factors of the occurrence of endogenous (self-generating) fluctuations and bifurcations; about the probability of catastrophes and crises arising in complex hierarchical economic systems. The solution of problems caused by the CHS development instability on the basis of complex application of phase, cointegration and bifurcation analysis will allow us to predict crisis situations in advance and to offer methods of their prevention, to find complex ways out of crisis situations.

Моделювання та керування складною освітньою системою

The paper aims to investigate the model of a complicated educational system, built on the basis of general principles of mathematical modeling of complex hierarchical systems. The model consists of three components, the interaction between them is provided by certain conditions. This interaction is the basis for modeling the main parameter of the study - the level of funding required for higher education. An important feature of the modeled system is its controllability, because in a real educational system the controlling influence can be performed as an external management of the system to ensure an average level of funding. For the initial problem of optimal control, which consists of a parabolic equation with a multivalued reaction function of the system, the approximate synthesis problem for a certain class of target functionals with control restrictions is solved. The results of modeling can be used in the development of various models of complex systems, as well as for decision-making in public administration and higher education management.

СИСТЕМНА ЕКОНОМІЧНА ДИНАМІКА ПАСАЖИРСЬКОГО АВІАЦІЙНОГО ТРАНСПОРТУ ТА ІНСТИТУЦІОНАЛЬНІ МЕХАНІЗМИ ЇЇ РЕГУЛЮВАННЯ

In the article the system dynamics as a method of studying complex hierarchical systems is applied to the diagnosis of the state and development of passenger air transport in Ukraine during 2010-2020 to clarify the causal quantitative, qualitative, structural changes. The rapid, linear, uniform growth of air passenger traffic in Ukraine during 2015-2019, associated with the signing of the Association Agreement with the EU, has been established. The following 2020 has been identified as a bifurcation point that has reversed a steady upward trend to a sharp threefold decline in passenger traffic due to restrictive measures to counter the spread of COVID-19. Intensive processes of concentration in passenger air transport were revealed, as the growth of passenger turnover took place against the background of a reduction in the number of enterprises and an even greater rate of reduction of employment in the industry. The distribution of the number of employees, services provided, value added created, financial results obtained by size of enterprises is exponential, as the vast majority of them are large enterprises, the share of which is small. The general estimation of development of passenger air transport is carried out on the criterion of financial results. Its shortcomings are: the presence of systemic losses during 2010-2014, a significant number of unprofitable enterprises, the positives – profitable activities at the industry level in 2019, the growing trend of the share of profitable enterprises. The content of institutional mechanisms for regulating the development of passenger air transport enterprises, represented by the management of social and labor relations in the industry, the introduction of customer-oriented approach and promising technologies for passenger air service development, strengthening guarantees of consumer protection, interaction with European and global transport systems. It is shown that the institutional mechanisms of regulation of passenger air transport should not be based on state protectionism, but on the criterion of increasing the efficiency and competitiveness of air transport market entities within the framework of the «open skies» policy.

Нейросетевое моделирование эффективности реагирования на чрезвычайные ситуации в многоуровневой системе управления

Introduction. It is important to have models that adequately describe the relationship between the integral indicators of the functioning of the system with the particular indicators of the lower levels of management in complex control systems, in particular in RSChS. Traditional approaches based on normative models often turn out to be untenable due to the impossibility of covering all aspects of the functioning of such systems, as well as due to the high variability of the environment and the values of the set of target indicators. Recently, adaptive machine-learning models have proven to be productive, allowing build stable and adequate models, one of the variants of which is artificial neural networks (ANN), based on the solution of inverse problems using expert estimates. The relevance of the study lies in the development of compact models that allow assessing the effectiveness of the functioning of complex multi-level control systems (RSChS) in emergency situations, developing according to complex scenarios, in which emergencies of various types can occur simultaneously. Goals and objectives. The purpose of the article is to build and test the technology for creating compact models that are adequate to the system of indicators of the functioning of hierarchically organized control systems. This goal gives rise to the task of choosing tools for constructing the necessary models and sources of initial data. Methods. The research tools include methods for analyzing hierarchical systems, mathematical statistics, machine learning methods of ANN, simulation modeling, expert assessment methods, software systems for processing statistical data. The research is based on materials from domestic and foreign publications. Results and discussion. The proposed technology for constructing a neural network model of the effectiveness of the functioning of complex hierarchical systems provides a basis for constructing dynamic models of this type, which make it possible to distribute limited financial and other resources during the operation of the system according to a complex scenario of emergency response. Conclusion. The paper presents the results of solving the problem of constructing an ANN and its corresponding nonlinear function, reflecting the relationship between the performance indicators of the lower levels of the hierarchical control system (RSChS) with the upper level. The neural network model constructed in this way can be used in the decision support system for resource management in the context of complex scenarios for the development of emergency situations. The use of expert assessments as an information basis makes it possible to take into account numerous target indicators, which are extremely difficult to take into account in other ways. Keywords: emergency situations, hierarchical control system, efficiency, artificial neural network, expert assessments