Management Of Complex Systems Research Articles

Scenario mapping for critical infrastructure failure under typhoon rainfall: A dependency and causality approach

The critical infrastructure system exhibits a high degree of instability because of the frequent occurrence of extreme natural disasters. This study proposes a method for exploring the cascading failures of critical infrastructure systems under such impacts, based on dependency relationships for importance analysis and probability assessment. With this method, a cascading failure scenario graph of critical infrastructure is established and empirical research is conducted using typhoon rainfall events as a case study. The main contributions of this study are summarized as follows: it proposes a method for the causal identification of the interrelationships among critical infrastructures; it sorts and evaluates the importance and cascading failure probability of critical infrastructure by using the Interpretative Structural Modeling (ISM) and Rank-order Centroid method (ROC); and it generates scenario graphs of critical infrastructure cascading failures to visualize event states, environmental characteristics, and evolutionary paths. This study provides a new method and tool for disaster risk management of complex systems involved in critical infrastructure.

Multilayer analysis of energy networks

Modern interconnected and vulnerable energy infrastructures highlight the critical need for resilience and robustness to maintain the functioning of modern societies amidst growing environmental and operational challenges. This study introduces both multilayer and multiplex network analysis of Belgium’s electricity and gas systems, addressing the complex interdependence inherent in such infrastructure. The resilience is evaluated through random and targeted disruptions, while the robustness is assessed by employing the Molloy-Reed criteria for structural integrity and setting minimum operational thresholds for continuity. Multiplex layer similarities are assessed and subnetworks are identified. The coverage evolution metric quantifies the network’s adaptability under various disruption scenarios. Belgium’s energy infrastructure is used as a case study to uncover critical nodes from different centrality perspectives whose stability is essential for overall network resilience and identify vulnerabilities to disruptions, whether random or targeted. Our insights into the structural robustness, cluster cohesion, and Navigability of energy networks pave the way for more informed decisions in energy infrastructure planning and complex systems management, offering valuable lessons that can be applied globally.

MODERN APPROACHES TO THE IMPLEMENTATION OF A MARKETING SYSTEM FOR ANTI-CRISIS MANAGEMENT OF AGRICULTURAL ENTERPRISES

The purpose of the article is to study the system methodology and situational approach to the study of the crisis state of an agricultural enterprise, to analyse the theory and practice of anti-crisis management, to improve the mechanism of adaptation of an agricultural enterprise to crisis phenomena, and to propose effective anti-crisis management tools. The methodological basis of the study was a synthesis of the results of applied research in economics, scientific works of domestic and foreign scientists, which highlighted the basic theories of competitive advantage, competitiveness and marketing management. Results. The results of the research together solve an important scientific and practical problem – the formation of a marketing system of anti-crisis management in the conditions of transformational economy. This system is strategic in nature and reflects the significant influence of social factors, risks and conditions of uncertainty. In the course of the study, a number of circumstances were identified that determine the negative and positive consequences of the crisis, as well as the conditions for overcoming it, without which it is difficult to objectively determine the probable losses and forecast possible options for the development of the enterprise. Practical results. To overcome the crisis, the company can take various measures, such as restructuring, financial reorganisation, strategic planning, changes in management structure, development of new products, marketing measures, etc. It is important to respond to the signs of the crisis in a timely manner and to manage the situation effectively in order to ensure the sustainable functioning of the company under difficult conditions. At the same time, the role of marketing activities in the anti-crisis management system is crucial. The task of marketing activities is to promote constant adaptation to changes in environmental factors and the company's operating conditions. Taking into account the modern development of the market economy, financial instability and the company's solvency, the effective organisation of a complex anti-crisis management system is of key importance. Value/Originality. Anti-crisis management is considered as a system of managerial actions and decisions in the conditions of transformation of the socio-economic system. These actions are aimed at diagnosis, prevention, elimination of crisis phenomena and neutralisation of their effects and consequences in the future.

Теоретические основы оценки эффективности сложной информационной системы

In the aspect of solving the problem of inefficiency of a complex information system of public finance management, the necessity of developing a methodology for system analysis and modeling of a complex information system (IS) is considered. Based on the synthesis of the provisions of systems theory, organization theory, decision theory and management theory, the main definitions of a separate theory, its axioms and the basic principles of evaluating the effectiveness of the system were proposed. The key feature of the management of the system is adaptation, the qualitative adjustment of which can enhance the beneficial effect of a complex system by developing a system-wide management strategy. The given conceptual descriptions of the adaptive management process indicate the need for continuous modeling of the system, the creation of models for managing the functioning and development of the complex IS as a complex ecosystem, where priority in decision-making should be focused on the synergetic effect of benchmarking, integration and centralization. Due to the expansion of scientific knowledge about the category of effectiveness of complex IS, the results of the study will further allow in practice to resolve some difficulties and contradictions in managing the development of a complex IS for public finance management.

ДОСЛІДЖЕННЯ ІНТЕЛЕКТУАЛЬНИХ МОДЕЛЕЙ КЛАСИФІКАЦІЇ НЕВИЗНАЧЕНИХ ДАНИХ З ВИМОГАМИ ДОСТОВІРНОСТІ РЕЗУЛЬТАТІВ

The report contains the results of research and development of intellectual models for managing complex systems under conditions of data uncertainty based on classification procedures, which ensure reliable solution of tasks considering the assessment of the boundary dimensionality of models. The possibilities of improving Hamming neural networks for data classification in formats of fuzzy variables and certainty factor CF(A) are investigated. The features of the mathematical model of classification tasks based on a set of feature templates are determined. A software complex of information technology for assignment/selection of performers, as well as determination of authorship of Ukrainian-language works based on classification of sets of templates with certain fuzzy features, is presented. The software complex utilizes the reduction and Cohen's kappa statistics procedures proposed in the report.

THE ROLE OF BIG DATA IN SYSTEMS ENGINEERING: A REVIEW

This research review explores the transformative intersection of Big Data and Systems Engineering (SE), a convergence that leverages the vast capabilities of Big Data analytics to enhance the design, analysis, and management of complex systems. As the digital era ushers in unprecedented volumes of data, traditional systems engineering approaches are challenged to adapt, necessitating a paradigm shift towards integrating Big Data technologies. This review draws on recent scholarly contributions to highlight the implications, challenges, and innovative solutions emerging at this intersection. The integration of Big Data into Systems Engineering introduces significant opportunities for innovation. By processing and analyzing vast datasets, systems engineers can uncover hidden patterns and insights, leading to more efficient, reliable, and adaptable systems. However, this integration is not without its challenges. Information security emerges as a paramount concern, with the risk of insider attacks necessitating the development of new architectural solutions. Furthermore, the benchmarking and evaluation of Big Data systems present unique challenges due to the diversity of data and workloads involved. To address these challenges, this review examines several key contributions to the field. It discusses a formal framework for designing information systems that handle heterogeneous data, emphasizing the role of ontological models in separating system architecture from its implementation. The review also highlights the importance of security in Big Data systems, proposing a novel architecture for detecting insider attacks through data replication. Additionally, it explores the development of BigDataBench, a benchmark suite that facilitates the comprehensive evaluation of Big Data systems and architectures. Moreover, the review delves into the design of Big Data analytics architectures, focusing on goal-oriented modeling and the resolution of obstacles to quality goal achievement. It also introduces datar, a unified framework for Big Data Management Systems, showcasing a solution that manages Big Data in a pluggable, automatic, and intelligent manner. In conclusion, the intersection of Big Data and Systems Engineering heralds a new era of system design and management. By addressing the inherent challenges and leveraging innovative solutions, this convergence holds the potential to significantly enhance the capabilities of Systems Engineering, driving forward the development of complex, data-driven systems.
 Keywords: Big Data, Systems Engineering, Information Security, Data Management Systems, Benchmarking Big Data Systems.

Современная терминология и классификации в инвестиционном анализе

The article is devoted to the issues of improving the methodological provisions of investment analysis, which form of the basis for the projects of industrial enterprises strategic development. The purpose of the study is to develop fundamental theoretical aspects and methodological approaches to investment analysis as an integral function of complex management system of an economic entity. Both general scientific and applied research methods were used: analysis, synthesis, quantitative and qualitative methods of economic and investment analysis. A critical review of scientific and methodological publications and practical developments of modern Russian and foreign authors in the field of investment analysis is summarized. Directions for improvement of organization, content, methods of investment analysis and its information support have been developed, contributing to the quality of investment projects of manufacturing companies. Based on the generalization of the existing approaches to investment project activities and investment analysis practice, a conclusion is made regarding the necessity to update and supplement the terminological apparatus and specific typologization of objects within the scope of the research topic. Specified definitions of a number of fundamental concepts and terms are proposed, taking into account the specifics of project solutions of manufacturing companies. Special attention is paid to the practical use of financial analysis methods to assess the feasibility of investment project and substantiate the forecasts of its effectiveness.

Identification of energy management configuration concepts from a set of pareto-optimal solutions

Implementing resource efficient energy management systems in facilities and buildings becomes increasingly important in the transformation to a sustainable society. However, selecting a suitable configuration based on multiple, typically conflicting objectives, such as cost, robustness with respect to uncertainty of grid operation, or renewable energy utilization, is a difficult multi-criteria decision making problem. The recently developed concept identification technique can facilitate a decision maker by sorting configuration options into semantically meaningful groups (concepts).In this process, the partitioning of the objectives and design parameters into different sets (called description spaces) is a very important step. In this study we focus on utilizing the concept identification technique for finding relevant and viable energy management configurations from a very large data set of Pareto-optimal solutions. The data set consists of 20,000 realistic Pareto-optimal building energy management configurations generated by a many-objective evolutionary optimization of a high quality Digital Twin energy management simulator. We analyze how the choice of description spaces, i.e., the partitioning of the objectives and parameters, impacts the type of information that can be extracted. We show that the decision maker can introduce constraints and biases into that process to meet expectations and preferences. The iterative approach presented in this work allows for the generation of valuable insights into trade-offs between specific objectives, and constitutes a powerful and flexible tool to support the decision making process when designing large and complex energy management systems.

Intercropping changed the soil microbial community composition but no significant effect on alpha diversity.

Enhancing the planning of the forest-agricultural composite model and increasing the efficiency with which forest land is utilized could benefit from a thorough understanding of the impacts of intercropping between forests and agriculture on soil physicochemical properties and microbial communities. Populus cathayana × candansis cv. Xinlin No.1 and Glycine max intercrop soils, along with their corresponding monocrops, were used in this study's llumina high-throughput sequencing analysis to determine the composition and diversity of soil bacterial and fungal communities. The findings indicated that intercropping considerably raised the soil's total phosphorus content and significantly lowered the soil's carbon nitrogen ratio when compared to poplar single cropping. Furthermore, the total carbon and nitrogen content of soil was increased and the soil pH was decreased. The sequencing results showed that intercropping had no significant effect on soil alpha diversity. Intercropping could increase the composition of fungal community and decrease the composition of bacterial community in poplar soil. At the phylum level, intercropping significantly increased the relative abundance of four dominant phyla, i.e., Patescibacteria, Proteobacteria, Patescibacteria and Deinococcus-Thermus. And the relative abundances of only two dominant phyla were significantly increased. It was found that soil total phosphorus and available phosphorus content had the strongest correlation with soil bacterial community diversity, and soil pH had the strongest correlation with soil fungal community diversity. The results of this study were similar to those of previous studies. This study can serve as a theoretical foundation for the development of a poplar and black bean-based forest-agricultural complex management system in the future.

Innovative mechanisms for designing the regional public administration system

Subject. This article discusses the issues of managing complex systems and the feedback quality. Objectives. The article aims to develop a process model for the functioning of the regional public administration system. Methods. For the study, we used a systems analysis. Results. The article presents the design of a single control loop based on the model of a goal-oriented system and the model of an automatic control system and offers complete lists of elements for projects of a regional public administration system. Conclusions. Further development and implementation of the proposed project of the regional management system can help improve the effectiveness of targeted activities.

Quasi steady-state modelling and characterization of diffusion-controlled dissolution from polydisperse spheroidal particles, I: modelling

A quasi steady-state model (QSM) for accurately predicting the detailed diffusion-dominated dissolution process of polydisperse spheroidal (prolate, oblate and spherical) particle systems with a broad range of distributions of particle size and aspect ratio has been developed. A rigorous, mathematics-based QSM of the dissolution of single spheroidal particles has been incorporated into the well-established framework of polydisperse dissolution models based on the assumption of uniform bulk concentration. Validation against experimental results shows that this model can accurately predict the increase in bulk concentration of polydisperse systems with various particle sizes and shape parameters. A series of representative instances involving the dissolution of polydisperse felodipine particles at various concentration ratios is used to demonstrate the model's effectiveness, rendering it a valuable tool for understanding and managing complex systems with diverse particle characteristics.

ІННОВАЦІЙНІ НАПРЯМКИ УПРАВЛІННЯ ЕКОЛОГІЧНИМ ТУРИЗМОМ В УКРАЇНІ В КОНТЕКСТІ СТАЛОГО РОЗВИТКУ

The article examines modern approaches to ecological tourism as a complex management system, which includes environmental educational and educational activities among participants. The main task of this model is to achieve economic goals while simultaneously preserving nature and cultural values for future generations. The article examines how economic, environmental, social and political aspects have contributed to the rapid progress of ecotourism. It was discussed how ecotourism can become a means not only for economic growth, but also for the preservation of the ecosystem and cultural heritage. Much attention is paid to the importance of applying the latest management approaches, infrastructure development and conducting educational programs for communities. The importance of establishing ecological routes with proper information and safe infrastructure is highlighted, as well as the formation of clear rules for tourists. The role of monitoring and control over compliance with environmental norms for the adaptation of tourist activities is revealed. The importance of local population participation in ecotourism projects for economic development and raising environmental awareness is emphasized. Ecotourism is presented as a tool for the protection of nature and culture, while offering ways of social and economic progress. International experience in the field of ecotourism is also mentioned, showing its impact on local communities, regional economies and the environment. Based on this experience, recommendations are offered for adapting global best practices to local conditions to create a sustainable ecotourism environment. The conclusions call for an integrated approach to the development of ecotourism, which requires the joint actions of government, business, local communities and international organizations. The article emphasizes the importance of creating an effective ecotourism management system that provides a balance between the needs of tourists, environmental protection, and economic interests of regions. The need to involve the public and the private sector in the development and implementation of projects in the field of ecotourism is also emphasized.

Optimization of transport constraints and quality of service for joint resolution of uncertain scheduling and the job-shop problem with routing (JSSPR) as opposed to the job-shop problem with transport (JSSPT)

To better meet the qualitative and quantitative requirements of customers or relevant sector managers, workshop environments are implementing increasingly complex task management systems. The job shop scheduling problem (JSSP) involves assigning each task to a single machine while scheduling many tasks on different machines. Finding the best scheduling for machines is one of the challenging optimizations of difficult non-deterministic polynomial (NP) time problems. The fundamental goal of optimization is to shorten the makespan (total execution time of all tasks). This paper is interested in the joint resolution of scheduling and transport problems and more particularly the Job-shop problem with Routing (JSSPR) as opposed to the Job-shop problem with Transport (JSSPT). These two problems are modeled in the form of a disjunctive graph. For the JSSPT, the solution to the transport problem is not linked to any quality of service (QoS) criterion and the solution is therefore often semi-active. The Job-shop with Routing explicitly considers transport operations and uses algorithms from the transport community to solve the transport problem. It is shown that the routing part of the JSSPR is a problem of the vehicle routing family and of the Pickup and Delivery Problem family. QoS in the JSSPR is defined by the duration of tours, the duration of transport of parts and the waiting time for them. A new evaluation function – named Time-Lag Insertion Heuristic (TLH) – is proposed to evaluate a disjunctive graph by simultaneously minimizing the makespan and maximizing the quality of service. Thus, the solution obtained is not semi-active, but a compromise between the different criteria. This evaluation function is included in a metaheuristic. Our numerical evaluations demonstrate that, on the one hand, the TLH evaluation can find almost optimal solutions regarding the QoS criterion; and on the other hand, the TLH evaluation is not very sensitive to the order of insertion of the maximum time-lags during the different minimization steps.

An Analytical Polytope Approximation Aggregation of Electric Vehicles Considering Uncertainty for the Day-Ahead Distribution Network Dispatching

The integration of large-scale heterogeneous electric vehicles (EVs) into the distribution network increases the system management complexity significantly. Due to the flexible charging/discharging operation and shiftable energy consumption during the parking time, EVs possess a great dispatching potential for the distribution network. This paper develops an analytical polytope approximation (APA) aggregation model to efficiently depict the dispatchable regions of large-scale EVs with uncertainties and proposes a bilevel cooperative optimization approach for EV aggregators to participate in the distribution network day-ahead optimal scheduling. Uncertainties of EVs are modeled by chance constraints with different confidence levels to accommodate various regulatory requirements. The proposed approach can obtain large-scale EVs dispatchable capabilities with minimum flexibility loss and realize the regulation command disaggregation without violations. Numerical case studies are conducted on IEEE 33-bus and 141-bus distribution networks based on real data sets, which show that the proposed approach outperforms other state-of-art methods in terms of low operation flexibility conservatism, high system economics, and computational efficiency.

СКЛАДОВІ ОРГАНІЗАЦІЙНО-ЕКОНОМІЧНОГО МЕХАНІЗМУ УПРАВЛІННЯ БУДІВЕЛЬНИМИ ПІДПРИЄМСТВАМИ

The article defines the components of the organizational and economic mechanism for managing construction enterprises. It is noted that the introduction of martial law and hostilities on the territory of Ukraine have very sharply revealed serious shortcomings in the organization of the construction complex management system, which continue to negatively affect the economic and social development of the country. Domestic construction enterprises have demonstrated insufficient organizational and economic capacity to meet the challenges they face. The author’s definition of the organizational and economic mechanism for managing construction enterprises is given. It is noted that the formation of an organizational and economic mechanism for managing construction enterprises requires the attraction and proper management of the following resources: material and technical, production and technological, financial, personnel, information, and marketing. It has been found that competitive advantages of construction enterprises are always ensured provided that the quality of construction products and their price are rationally balanced, all types of resources are used efficiently, and the level of guarantees and reliability of developers’ obligations is increased, which, in the end, when using modern management mechanisms, will enable consumers and stakeholders to obtain the result they sought. The carried out research allowed to generalize the problems and determine the prospects for the formation and implementation of the organizational and economic mechanism for management of construction enterprises on the basis of providing characteristics of its main components. It is concluded that the formation of an organizational and economic mechanism for managing construction enterprises will contribute to the successful conduct of construction business on the basis of harmonizing the interests of all stakeholder groups and introducing an effective system for managing all types of resources, which in the future, during the reconstruction of the country, will give a new impetus to the understanding by all stakeholders of the importance of construction for the development of the national economy of Ukraine.

Ontological aspects of the problem of realizability of control of complex systems

The article deals with the management of complex systems. The general definitions of the concepts "control" and "control system" are formulated. It is stated that the control system in its basis is an information system, for which the most important characteristics are performance and rapidity. Definitions are given and differences between these characteristics are revealed. The problem of realizability of control of complex systems is stated, which consists in the necessity of providing sufficient rapidity, at which the whole necessary complex of control operations is placed in the control cycle. The relationship between the control parameters: the complexity of the control object, the duration of the control cycle and the rapidity of the control system is investigated. As a result, a number of significant dependencies are revealed: the duration of the control cycle is approximately inversely proportional to the complexity of the control object; the rapidity of the control system is approximately proportional to the square of the object complexity. It is stated that within the framework of the general theory of systems there are two main options for increasing the stability of a complex system: the option of monocentrism with a central element, or by increasing the number of links in the object. The first option does not allow increasing rapidity. The second variant of stability can be implemented in practice in the form of a decentralized system. The latter option is universally realized in living systems and is promising for the control of technical systems.

Перспективные направления исследований профессиональной деятельности работников металлургических производств

The article discusses promising areas of research of professional activity of workers of metallurgical industries. The practice of taking into account occupational risks and occupational morbidity of employees of metallurgical industry enterprises shows that inefficient performance of labor functions in the course of professional activity may be associated with a distorted idea of the requirements that are imposed on the subject of labor and its professionally important qualities, and this, in turn, requires a certain professional readiness and adaptation to working conditions based on selection of coping strategies appropriate to the professional situation. One of the contradictions may be the current requirements for the professionally important qualities of employees of metallurgical industries, for their performance of certain labor functions within a particular position in accordance with professional standards and the inconsistency of the existing professional and personal characteristics of employees with existing qualification requirements. The assessment of the degree of digital support of metallurgical devices and production in general makes it possible to optimize not only the policy of economic development in general, but also the professional activity of an employee of metallurgical industries, in particular – on machines with software and in the management of complex production complex systems. Considering professional training as a dynamic process of forming an employee of metallurgical industries, such trends and priority areas of educational activity as the use of a collective form of educational interaction, the implementation of a differentiated approach to students, the use of electronic and mixed learning, the use of virtual and augmented reality technologies in educational practice, individualization of training and mentoring are highlighted. The implementation of the institute of mentoring in the metallurgical sphere is significant for increasing the success of the enterprise and, importantly, for the development of a person, an employee as a person and as a subject of activity, the disclosure of his professional and personal qualities in work, as a professional at various stages of professionalization. The identified promising areas of research of the professional activity of workers of metallurgical industries can lay the foundation for the creation and implementation of a systematic approach, a model of psychological support of professional activity aimed at the development of professional and personal constructive mechanisms of professional adaptation within the framework of professional activity in the metallurgical sphere.

REVISION AND DIGITALIZATION

Digitalization and automation enable more efficient data management, thus increasing auditing quality and efficiency. Positive aspects of auditing future are transition to current or continuous auditing, greater flexibility and better communication. Digitalization and automation come with certain challenges, such as complex systems management. These processes are changing auditor’s role. Higher requirements regarding technical and social competencies are imposed on employees, and regarding analytical skills as well. The purpose of this work is to present influence and significance of digitalization in auditing.

Unsupervised Physics-Informed Health Indicator Estimation for Complex Systems

Developing Health Indicators (HI) is a crucial aspect of prognostics and health management of complex systems. Previous research has demonstrated the benefits of accurately determining the HI, which can lead to better performance of prognostic models. However, the existing methodologies for determining HI in complex systems are mostly semi-supervised and rely on assumptions that may not hold in real-world scenarios. The existing methods usually involve using a reference set of healthy sensor readings or run-to-failure data to infer HI. But the unsupervised inference of HI from sensor readings, which is challenging in scenarios where diverse operating conditions can mask the effect of degradation on sensor readings, has not been extensively researched. In this paper, we propose a novel physics-informed unsupervised model for determining HI. Unlike previous methods, constrained by assumptions, the proposed method uses prior general knowledge about degradation to infer HI, thereby eliminating the need for a reference set of healthy sensor readings. The proposed unsupervised model is an Autoencoder that incorporates constraints on its latent space to ensure consistency with knowledge about degradation. We assess the efficacy of the proposed model by analyzing a prevalent prognostic case study, specifically the turbofan engine dataset (N-CMAPSS). Our analysis considers the model's sensitivity to data availability and the resulting Health Index's quality, including trendability and monotonicity. Additionally, we investigate the impact of incorporating the Health Index in predicting Remaining Useful Life (RUL). We demonstrate that our proposed method generates a Health Index that exhibits greater monotonicity and trendability than the current state-of-the-art semi-supervised approach. Moreover, our approach for identifying the Health Index leads to enhanced prognostic performance compared to the existing semi-supervised approach.

Development of the agro-industrial complex of the Republic of Moldova, ways to improve the sphere and management system

Relevance of the research. The agro-industrial complex is the most important component of the economy of the Republic of Moldova. The protracted crisis of the agrarian sphere was, first of all, the result of the weakening of the role of state regulation and the management system of the agro-industrial complex. The effective economic development of the agricultural sector of the Republic of Moldova at the macro and micro levels requires the improvement of the system of management of the agricultural sector at all levels. Formulation of the problem. Related to the improvement of management at all levels of the country's agro-industrial complex, namely the competitiveness of enterprises under the influence of various risk factors, the correct formation of strategic management at the level of the state and enterprises, the use in the production of certain models of rational placement of production infrastructure for the effective development of enterprises, which ultimately ensure the sustainable economic growth of the country's agricultural sector. Setting the task, the purpose of the study. The purpose and objectives of the article are to study the structure of the agro-industrial complex management system, the dynamics of the main indicators characterizing the state of agriculture of the Republic of Moldova; identify problems, and develop recommendations for improving the management system of the agro-industrial complex of Moldova. Material and methodology. During the writing of the article, general scientific and special methods were used, namely the abstract-logical, statistical-economic, and graphic methods. The information and empirical base of the study are based on data from the National Bureau of Statistics of the Republic of Moldova. Presentation of the main material (results of work). The article conducted a study of the composition of the agro-industrial complex of the Moldavian SSR; the current state management system of the agro-industrial complex was analyzed; the degree of impact of reforms on the management structure of the agro-industrial complex was determined; in-depth analysis of the main indicators characterizing the state of this industry was carried out; proposed are directions of market infrastructure development through suitable channels of agricultural products distribution. Field of application of results. The materials, results, and conclusions of the study can be used by government bodies, higher education institutions, and student organizations. Conclusions according to the article. The results of the reforms carried out in the agricultural sector of the country's economy were summarized, problems that arose as a result of the ongoing reorganizations in the agro-industrial complex system were identified, and a deep analysis of the development of the agricultural economy was made. The authors also presented recommendations for improving the processes of management of the agricultural sector of the Republic of Moldova, and presented the author's conceptual approaches to the formation of the composition of the agro-industrial complex.