Technological Subsystems Research Articles

Patterns of innovation-driven tourism competitiveness: Insights from 270 Chinese cities

This paper utilizes innovation ecosystem theory to examine how an innovation ecosystem (comprising economic, technological, labor, and institutional subsystems) promotes tourism competitiveness through internal interaction. Employing fuzzy-set qualitative comparative analysis and necessary condition analysis techniques, this study assesses the necessity and sufficiency of an innovation ecosystem for high tourism competitiveness. Findings demonstrate that industrial structure and human capital innovations are requisite for tourism competitiveness, with the former being more universally applicable. Further, this study identifies an earlier innovation-driven mechanism for superior tourism competitiveness: leveraging industrial structure and human capital, and four contemporary innovation-driven mechanisms: leveraging industrial structure, leveraging policy, leveraging technology, and leveraging industrial structure and wages. The rationalization of industrial structure and human capital enhancement serve distinct bottleneck roles. This article contributes to understanding the link between innovation ecosystems and tourism and similarly suggests approaches for enhancing tourism competitiveness through innovation system development.

TECHNOLOGICAL AND TACTICAL SUBSYSTEMS OF THE INTELLIGENT MANAGEMENT INFORMATION SYSTEM (ON THE EXAMPLE OF AN OIL AND GAS CORPORATION)

Providing Ukraine with its own oil and natural gas is one of the main tasks of the national economy. The possibility of development of the oil and gas industry is primarily determined by the volume of explored and mined resources. Since the existing explored reserves will not ensure the growth of oil and gas production, it is necessary to increase the amount of investments in the exploration and development of new deposits and hydrocarbon deposits with the aim of increasing their reserves and further growth of production, which requires the adoption of management decisions, which are characterized by increased technological and economic risk, uncertainty.
 Taking into account the main reasons for the decline in oil and gas production in Ukraine, the specifics of the industry and the requirements for information systems in the oil and gas industry, it can be argued that the use of intelligent technologies not only at the strategic, but also at the tactical and technological levels of management - is one of the keys to success in creating/reengineering, implementation and effective use of management decision support systems.
 The scientific and practical results presented in the article regarding the innovative configurations of architecture and design, proposed intellectual methodology for tactical and technological subsystems of the corporation management information systems. The above-proposed solutions - should be taken into account when reengineering corporate information systems not only in the oil and gas industry in Ukraine [1-3]. 
 Moreover, the obtained results are relevant and applicable not only for local companies, but also for international corporations on emerging markets in the context of global and regional macroeconomic and military crisis phenomena.

Organizational and technological reliability of complex buildings with recourse supply risks modeling

Introduction. In recent days, the resources of a construction project (СP) are limited; therefore, the main tasks of managing the resource supply of construction production (RSСP) are optimal planning of resources and management of material and technical support. This includes managing the resources, supply, inventory management and distribution of resources by type of construction and installation work (CIW).Materials and methods. For a systematic analysis of the functioning of a construction project, organizational and technological subsystems are identified that have the greatest impact on the quality and reliability of construction systems. These include construction scheduling, resource support for construction and estimates that determine the cost characteristics of construction production.Scientific novelty. As a criterion for determining the effectiveness of the construction process, the article proposes to use the organizational and technological reliability (OTR) of complex development, taking into account resource supply. The article examines the factors influencing this criterion, as well as determines the indicators of factors and the interval values of the risk assessment of OTR. The values of the OTR indicator are obtained, which is the probability of completing the project on time, and the classification of factors affecting OTR is supplemented.Results. Contractors and developers provide construction facilities with all necessary resources according to the technological sequence of production of the CIW, established calendar plans and construction schedules. The organisation of complete supplies of resources through enterprises and divisions of production and technological equipment, as well as production and acquisition bases will provide for the redistribution of necessary resources to fulfill the production program between the construction sites of complex development.The novelty of the study lies in the modelling of the organizational and technological reliability of complex development, taking into account the risks of resource supply.Discussion and conclusion. To ensure successful resource provision, it is necessary to take into account the risks and take into account, within the framework of information programming, the organizational and technological reliability of the technological processes of the construction project, taking into account the specific conditions and factors of the implementation of the integrated development project.

The role of strategy in ensuring the security of business structures

The paper considers the role of strategizing in ensuring the security of business structures. The theoretical aspect of the concept of "strategizing" in the context of security of business structures is studied. The approaches to defining the essence of its concept by foreign and domestic scholars are analyzed. It is determined that the most key aspects are the following: development management, self-development potential, a set of provisions and procedures, actions in case of uncertainty, maneuvering in conditions of imbalance, multiplier effect, achievement of goals, and resource. It is found that the main structural elements of business security are determined in accordance with the specifics of their activities. The most commonly distinguished are the following: information, technical and technological, personnel and intellectual, financial, organizational and managerial, environmental, power and political and legal. The author defines the role of strategizing in the formation of the security system of business structures and how it affects its individual subsystems, in particular, financial, technical and technological, organizational and managerial. With regard to the former, the actions and measures of strategizing are implemented at the stages of planning, analysis, evaluation and control. As for the second, they are implemented during foresighting, planning, analysis, evaluation, modeling, and controlling. As for the third, the actions and measures of strategy are implemented in planning, analysis, evaluation, controlling, forecasting and determining KPIs. All of this will have the corresponding effect: as for the financial subsystem of security - increasing the level of financial independence, sustainability and competitiveness; as for the technical and technological subsystem - increasing the level of innovation, adaptability, competitiveness; as for the organizational and managerial subsystem - increasing the level of corporate social responsibility, interconnection between the structural units of the organizational management structure.

Методи прийняття багатоцільових рішень щодо управління транспарентністю розвитку підприємств в умовах конвергенції інвестиційних процесів

It is determined that one of the priorities in any national economy is the problem of forecasting and assessing the level of transparency of development, quality and reliability of functioning of industrial enterprises, their technological and economic subsystems. This has a direct impact on the level of investment, the nature of financing, the distribution of costs for the production of finished products with the achievement of a given quality and reliability, as well as on the financial condition and image. In addition, it has a direct proportional effect on the well-being of society and the quality of life of the population. On the other hand, investing in the real sector of the economy requires banks and other investors not only to optimize investment programs, but also to take into account the specifics of financial, production, economic and socioeconomic activities of industrial enterprises as market participants, and, accordingly, application of models that appropriately link investments with sales policies, production, management, staff, location of production facilities, taxation, etc. It is concluded that the positive level of management of transparency of development of industrial enterprises in the context of convergence of investment processes is inseparable from the processes of planning, regulation, control and forecasting of production and technological processes, as well as the allocation of resources in the process of performing certain complex tasks. Determining the optimal options for current and future development is often associated with solving large-dimensional optimization problems with a large number of different conditions and constraints (for example, requirements for the completeness of variables combined with requirements for the absence of time losses), which, due to their extreme nature, complicate the solution of such problems. Effective methods for optimizing multi-purpose investment decisions in managing the transparency of the development of industrial enterprises in the context of convergence of investment processes include methods for analyzing the usefulness of goals, criteria and alternatives, including those with several vectors; methods of hierarchy of goals, taking into account a number of advantages; information about the chosen strategy, alternatives, their parameterization, stochasticity, substitution ratios, and other characteristics. All these factors can be taken into account for the classification of models of multi-purpose and program-target solutions and the use of the most effective of them when choosing the optimal investment solution in managing the transparency of the development of industrial enterprises in the context of convergence of investment processes.

Archetypes of social-ecological-technological systems for managing ecological infrastructure

The concept of ecological infrastructure (EI) as a lens for landscape management has the potential to address environmental challenges, such as biodiversity loss and ecosystem degradation, by instrumentalizing Nature’s Contributions to People (NCP). NCPs stems from the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES) and refers to the various ways in which the natural world provides benefits, values, and services that directly and indirectly contribute to the well-being, livelihoods, and cultural aspects of human societies. This research explores this potential by proposing an archetype analysis of social-ecological-technological systems (SETS) to manage EI. We derived archetypes using machine learning and clustering on a data-driven SETS framework co-produced with experts in EI management. The archetype analysis was conducted by combining K-means with hierarchical clustering on spatial patterns to generate clusters with similar configurations of social, ecological, and technological subsystems. The approach is illustrated for the canton of Geneva, Switzerland, which experiences high urbanization and ecological pressures. The resulting spatially explicit archetypes of SETS facilitate policy recommendations tailored to multifunctional landscapes, which can be used to derive coherent management strategies for EI. In addition, the approach demonstrates that by taking an integrated landscape approach and engaging with diverse stakeholders, it is possible to develop effective landscape-based management recommendations for promoting the sustainable provision of NCPs and biodiversity within the concept of EI.

We're implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems

Despite high expectations of artificial intelligence (AI) in medical diagnostics, predictions of its extensive and rapid adoption have so far not been matched by reality. AI providers seeking to promote and perpetuate the use of this technology are faced with the complex reality of embedding AI-enabled diagnostics across variable implementation contexts. In this study, we draw upon a complexity science approach and qualitative methodology to understand how AI providers perceive and navigate the spread of AI in complex healthcare systems. Using semi-structured, one-to-one interviews, we collected qualitative data from 14 providers of AI-enabled diagnostics. We triangulated the data by complementing the interviews with multiple sources, including a focus group of physicians with experience using these technologies. The notion of embedding allowed us to connect local implementation efforts with systemic diffusion. Our study reveals that AI providers self-organise to increase their adaptability when navigating the variable conditions and unpredictability of complex healthcare contexts. In addition to the tensions perceived by AI providers within the sociocultural, technological, and institutional subsystems of healthcare, we illustrate the practices emerging among them to mitigate these tensions: stealth science, agility, and digital ambidexterity. Our study contributes to the growing body of literature on the spread of AI in healthcare by capturing the view of technology providers and adding a new theoretical perspective through the lens of complexity science.

Сравнение и отбор ситуаций в системах вывода решений на прецедентах для «умной» фермы

The trend of development of smart farms is aimed at their becoming fully autonomous, robotic enterprises. The prospects for the intellectualization of agricultural production and smart farms, in particular, today are associated with the development of technology systems used to detect, recognize complex production situations and search for effective solutions in these situations. The article presents the concept of such a decision support system on smart farms using the method of decision support based on case-based reasoning - CBR system. Its implementation requires a number of non-trivial tasks, which include, first of all, the tasks of formalizing the presentation of situations and creating methods for comparing and retrieving situations from the KB on this basis. In this study, a smart farm is presented as a complex technological object consisting of interrelated components, which are the technological subsystems of a smart farm, the products produced, the objects of the operational environment, as well as the relationships between them. To implement algorithms for situational decision-making based on precedents, a formalized representation of the situation in the form of a multivector is proposed. This allowed us to develop a number of models of the trained similarity function between situations. The conducted experiments have shown the operability of the proposed models, on the basis of which ensemble architecture of a neural network has been developed for comparing situations and selecting them from the knowledge base in decision-making processes. Of practical interest is monitoring the condition of plants by their video and photo images, which allows detecting undesirable plant conditions (diseases), which can serve as a signal to activate the process of searching for solutions in the knowledge base.

What are the Sustainable Water Policies in Central Regions of Iran? An Integrated Water Resource Management Model

The efficient and optimal management of water resources is of great importance due to the strong dependence of human life on water. Also, the availability and utilization of the existing water resources in regions with water shortages, such as the Middle East, impose high social, economic, and environmental costs. Therefore, water resource management policies should incorporate all aspects of supply, allocation, control, and monitoring of resources. This study provides a dynamic simulation model for water resource management in the Yazd province of Iran to examine the effect of different policies on the other variables and choose the most suitable policies over time. For this purpose, we used a system dynamics approach to propose an integrated water resources management model, considering a comprehensive view of different aspects. The proposed model included over 230 influential variables in water resources, along with economic, demographic, technological, agricultural, industrial, public policy-making, water demand-supply, and virtual water volume subsystems. After we validate the model, we define three scenarios (optimistic, baseline, and pessimistic) and four policy packages (i.e., business as usual, focusing on economic development, focusing on sustainable development based on ecological balance, and focusing on water conservation) in the time horizons of 10, 20, and 50 years. The simulation results indicated that we require a reform in the Yazd economic development strategies through policies such as changing the cropping pattern and reducing water-consuming industries. Moreover, water supply enhancement by raising the inter-basin transfer of water alone cannot be an effective solution for reducing the water shortage in Yazd province and may even worsen the water shortage in the long run. We conclude that the “Focus on Water Conservation” policy is the best solution to reduce water shortage. The results of the baseline scenario show that adopting the FWC policy changes the increasing trend of water shortage in the province and decreases them from more than 53 billion m3 in the “Business as Usual” policy to less than 20 billion m3 in the year 2040. As the FWC would decrease more than 10 billion m3 of the virtual water level imbalance compared to BAU policy and make more investments in water efficiency plans, it preserves the current resources of water in the long run.

Introducing Artificial/Computational Intelligence-Derived Non-Parametric Transfer Functions for the Implementation of Dynamic Circular Economy Decision-Making Systems

With the development of science and technology, resource consumption has increasingly become a social problem. The circular economy is an economic form of a comprehensive utilization of resources. At present, China’s circular economy industry has begun to develop towards intensification, scale and specialization. With the deepening of research on the value of a comprehensive utilization of resources, the traditional economic field has undergone tremendous changes. According to the current situation of circular economy industry, an intelligent decision-making system is designed using artificial intelligence technology. Empirically, using the circular economy model and combining the sequence parameters to determine the sequence parameter indicators of the scientific and technological innovation subsystem and the energy saving and emission reduction subsystem, the correlation analysis of each indicator is carried out, and the order degree of the two subsystems is obtained respectively, so as to obtain for the enterprise the degree of synergy of the evolution system of the circular economy synergy of industries and industrial clusters. After repeated exploratory tests, it is found that the calculation has achieved over 98% of the precision of an astute direction, and has specific use and value because of the enormous number of preparing modes and trial dependability. Making a specific commitment to the circular economy is a trusted and logical solution.

Linking competitive priorities, smart manufacturing advancement and organizational microfoundations

PurposeSmart Manufacturing (SM) lies at the core of Industry 4.0. Operations management research has investigated the determinants of SM advancement but there is still limited understanding of the linkages between SM and organizational factors and about whether both the technological and organizational subsystems for SM are guided by firms’ competitive priorities. To close these gaps, building on operations strategy theory, this paper aims to empirically test a model positing that competitive priorities drive SM advancement. The relation between competitive priorities and SM advancement is assumed to be mediated by organizational microfoundations.Design/methodology/approachUsing data from a single respondent survey with 234 firms in the automotive component industry, structural equation modeling is adopted to test the model hypotheses. Relevant constructs are measured with reference to the lead plant for SM.FindingsFindings highlight that SM advancement is driven by the need to simultaneously compete in terms of cost, quality and delivery, thus suggesting that manufacturers view SM as a mean to develop multiple manufacturing capabilities. Organizational microfoundations fully mediate the relation between competitive priorities and SM advancement.Originality/valueResults have implications for SM research, as they provide an understanding of the strategic priorities of firms engaging in SM. Findings also bear relevance for manufacturing executives engaged in the SM transformation, as they provide quantitative evidence that shaping an adequate organizational environment is a prerequisite for SM advancement.

A typology of the Baltic region states according to excellence in science and technology

Global manufacturing systems function in such a way that countries develop industrial spe­cialisation, which leads to territorial disparities. The countries of the Baltic region are no exception despite their strong economic ties and developed industries. A signifi­cant element of any manufacturing system is its scientific and technological subsystem, which is described in this article for ten countries (Germany, Sweden, Denmark, Nor­way, Finland, Poland, Estonia, Latvia, Lithuania and Russia), based on an analysis of a clustered set of national character­istics: R&D financing and staffing in the scientific and technological subsystem. A total of ten indicators, absolute and relative, are investigated. The study relies on combined grouping, graphical and cluster analysis to build a typology of countries and distinguish their types ac­cording to their scientific and technological excellence As a result, a typology of the countries of the Baltic Sea region has been pro­posed and types of countries with similar characteristics have been identified: the two main types are traditional market economies and post-socialist countries, whose common features are observed in all sets of main characteristics. Several subtypes are described as well. The research draws on 2010—2019 (2020) statistical data from the European Statistical Office (Eurostat), the Organization for Economic Co-operation and Development (OECD) and Russia’s Federal State Statistics Service (Rosstat).

Вплив цифрової трансформації на формування системи економічної безпеки підприємства

The article is aimed at studying the features of formation of the system of economic security of enterprise, taking into account the risks that arise under conditions of digital transformation. When analyzing, systematizing and generalizing scientific works of many domestic and foreign scholars, the features of the digital transformation of the enterprise and its impact on the components of the overall system of economic security of the enterprise were considered in detail. As result of the study, the main problems and risks faced by the majority of enterprises in the process of digital transformation were identified and summarized, in particular, the following groups were allocated: technological, operational, managerial, financial and risks to privacy. The negative impact of the novel risks associated with digital transformation on the financial, technological, informational, personnel, and intellectual subsystems of the general system of economic security of enterprise is determined. It is substantiated that the effects of materialization of new risks can be destructive in relation to the activities of the entire economic entity and lead to significant financial, economic and organizational losses of enterprise. The step-by-step risk management in the system of economic security of enterprises undergoing digital transformation has been proposed, which includes: identification and diagnosis of further risks; risk optimization; monitoring of the state of economic security of the enterprise. In order to ensure the normal functioning and also to minimize the effect of negative factors and risks of digital transformation, the following proposals are formed: introduction and use of an integrated automated system of management and rationalization of business processes; use of cloud computing and SaaS solutions; development of necessary materials for staff training; use of new information-communicative and analytical technologies; ensuring investment in the development of digital skills; concluding agreements with technology partners; development of a culture of innovation and adaptability. Prospects for further research in this direction are the definition and quantitative assessment of the impact of digital transformation on the system of economic security of enterprise, as well as the development of approaches to managing a new system of economic security based on the use of the latest technologies of artificial intelligence and digitalization of business processes

Графоаналитическая оценка функционирования локальных биотехнических систем в животноводстве

The development of biotechnical systems in animal husbandry is characterized by the level of its intellectual and digital transformation based on neural network technologies and artifi cial intelligence systems. They are supposed to effi ciently recognize and take into account the refl exes, individual and group motivation of animal behavior and implement them in the corresponding local technological subsystems. Pathways to resting and self-service places for animals can be represented in the form of an oriented graph. To analyze it, the authors propose an integral ST-criterion (path-time), characterizing the duration of movement along the graph edges (a logistical infrastructure of the barn) between its vertices. The proposal includes some points of animal service in the corresponding local biotechnological systems (LBTS) (those of milking, feeding, watering, etc.). The graph analytics for each animal helps estimate idle travels from resting to service places (self-service), duration of service in the respective LBTS (working movement), veterinary treatment in case of diseases, total motor activity, total rest time in the box (at least 14 hours for highly productive animals), including duration of night and day rest, abnormal breaks between milkings (over 14 hours) in case of “voluntary” milking in automatic systems (robots), etc. By comparing photo-chronometer indicators with productivity and physiological state of each animal separately and analyzing possible time losses (downtime) at service (self-service) places, deviations in animal behavior, we can get a clear picture of the organization and effi ciency of technological processes on the farm, possible productivity losses and production costs. The graph analytics of local biotechnical systems in cattle breeding equipped with animal identifi cation and video surveillance systems wi ll enable farmers to optimize the on-farm control of technological processes.

Application of the state estimation procedure to improve the cyber-physical stability of the smart grid

Current Smart Grids and their facilities acquire stable features of cyber-physical systems, the components of which are physical (technological) and information - communication subsystems. In a cyber-physical system, a failure in one subsystem can cause a failure in an other one, and combined emergency states can occur as a result, so there is a problem of ensuring the Smart Grid resilience to physical and information disturbances - the problem of cyber-physical stability (resilience). The report considers the issues of applying the State Estimation procedure to analyze and increase the resilience of Smart Grid and its facilities. It is shown that the State Estimation procedure serves as an effective mean of identifying deliberate impacts or cyber-attacks on the information-communication subsystem and eliminating their consequences on technological subsystem operation. Ways to improve the efficiency of the State Estimation procedure for solving this task are considered.

ON THE MATRIX GENERALIZATION OF THE THEORY OF MACHINING ACCURACY

The article provides a matrix generalization of distortion models and scattering fields of dimensions performed during turning with a spatial arrangement of the tool, taking into account the simultaneous action of all components of the cutting forces of the setting tool and elastic deformations of the technological system in all coordinate directions. A full-factor model of dimension distortion for single-carriage adjustment has been developed, which allows taking into account not only planeparallel movements of technological subsystems, but also their angular movements around base points. Thus, the Eq. developed for the total displacement vectors 𝑢𝑖 is proposed to be taken as the basis for a full-factor model of the machining error. The presented analytical models describe only plane-parallel displacements of contacting bodies. It is shown that in order to take into account the whole complex of displacements in them, i.e. and angular displacements, it is sufficient to replace the plane-parallel displacement vectors of each contacting body 𝑟𝑖.

Indispensable skills for human employees in the age of robots and AI

Purpose Based on sociotechnical systems theory, social (human) and technological sub-systems in an organization should be taken in account when making strategic decisions and designed to fit the demands of the environment for organizational effectiveness. Yet there is very limited information in literature on whether employees are well equipped with indispensable (human) skills to prepare them combating challenges caused by advanced technology. The purpose of this study is to empirically investigate employees’ human skills that are critical for success in the Age of Robots and Artificial Intelligence from human resource development’s perspective. Design/methodology/approach A questionnaire was developed for the purpose of this exploratory study. A total of 422 US Midwest employees were surveyed on their human skills level that are critical for success in the Industry 4.0 transformation. Findings In general, the respondents could perform all the measured human skills (which can be categorized into social skillset and decision-making skillset) more than adequate but may vary by education level and gender. To strengthen one’s human skills, organizations may begin with facilitating employees on relationship building to create a support system and a strong sense of belonging, which will promote their social sensitivity and collaboration skill development, as well as decision-making skillset. Originality/value The findings of this study can be used for techno-structural interventions and employee development programs. This study highlights the importance of investigating human skills to cope with the changing nature of work and make upskilling more feasible and flexible for workers to be robot-proof.

Методика оценки влияния эксплуатационных параметров на работу турбопитательного насоса

Background. Turbine feed pumps (TFP) are one of the main consumers of thermal energy for in-house needs of thermal power plants and nuclear power plants. Currently, much attention is paid to improve the efficiency of operation of turbine feed pumps. Thus, it is necessary to assess the impact of operational parameters. The problem is that it is necessary to process a large array of data. The solution to the problem is the development of a methodology that allows quantitative and qualitative assessment of operational parameters. Materials and methods. As initial data, the authors have used the data of 20 thermodynamic and hydraulic parameters recorded during the industrial operation of the TFP equipment and the equations of thermal balances to find the key performance indicators of the TFP. A complex of multidimensional statistical methods is used for data processing, i.e cluster and factor analysis in the Statistica software package. Results. A methodology to assess the impact of parameters on the operation efficiency of the TFP has been developed. The cluster analysis method is used to diagnose and classify the parameters under study. By the method of factor analysis, several parameters have been identified: feed water flow in the pipeline behind the TFP, differential pressure of water of the TFP, condensate flow in the pipeline behind the TFP condensate pumps, pressure drop of circulating water before and after the TFP condenser, condensate temperature of the drive turbine. The analysis of the results has showed that the identified parameters are the main components of the useful power of the turbine feed pump and the criteria for the efficiency of the TFP. Conclusions. The proposed methodology makes it possible to carry out a quantitative and qualitative assessment of operational parameters, solve the problem of processing large amounts of information, reduce the time and complexity of calculations. The results obtained are based on the developed methodology and can be used to design a statistical model using neural network technologies. This methodology can be chosen to evaluate the operation of technological systems and subsystems at thermal power plants and nuclear power plants.

How the Academic Profession is Perceived in Public Technological Universities in Mexico

In this descriptive study, we utilized the national database that was obtained from the international APIKS, Academic Profession in the Knowledge – Basic Society survey, where 3,776 Mexican professors participated from the different public research centers, federal public institutions, state public institutions, technological public institutions, as well as from private institutions. This research emphasizes on the analysis of the public technological institution subsystem, in the variables of gender, preference between teaching and research contract situation, salary, labor and salary, professional environment, that are part of the elements composing the instrument applied to the professors working in higher education institutions. One of the purposes is to find out more about productivity, degree of satisfaction about the conditions and academic work nationwide.

Formation of the models of mining enterprise management

Purpose. To develop a comprehensive model of a mining enterprise, to define types of models for mathematical modelling at all management levels, and to determine principles and approaches to the formation of new input data concerning both technologies and their subsystems while combining the technologies. Methodology. To achieve the goal, a systems approach is used, which allows selecting the types of models for modelling the enterprise activities in terms of technologies and subsystems and determining the method of generating own input data for them. For this purpose, the following was completed: the available literature and patent sources were processed and generalized; scientific and technical papers on the selection and application of the varieties of models in mining were analyzed; the principles and individual approaches to the input data formation for mathematical modelling were considered. That makes it possible to select a software mechanism and create simulation models for effective management of a mining enterprise. Findings. Types of models for mathematical modelling at the operational, tactical, and strategic levels of enterprise management were determined and substantiated. Connection between the types of models used by management levels was specified. An expert survey for modelling at the operational level, simulation modelling at the tactical level, and dynamic programming at the strategic level of management were selected. A schematic diagram of modelling of a mining enterprise, whose structure included technologies and their subsystems at various management levels, were developed. The principles of input data formation to model all subsystems, either operating or being prepared for their implementation, were studied. The authors own approaches to the input data formation at the levels of management and technological subsystems were defined. Originality. While performing a particular solution of the discrete problem by Bellman method, dependences of minimizing the operations for enterprise management while forming a technological chain of a mine, provided meeting the requirements of production process continuity, were obtained. These studies are aimed at establishing a complex information system with its division into elements, each of which is then used to simulate the whole mining enterprise. Practical value. It means developing a comprehensive model of a mining enterprise, determining the types of models for mathematical modelling at all management levels, establishing a new way of input data formation in terms of both technologies and their subsystems with the implementation of additional mineral-mining technologies.