Efficiency Of Business Processes Research Articles

Business activity and risks of trading enterprises: the dialectic of the relationship

The paper defines the content of the definition of «business activity» in a broad and narrow sense, the components of its assessment are indicators of logistical, commercial, financial, and investment activities. It is shown that regular assessment and analysis of the business activity of a trading enterprise allows timely detection of problems, optimization of the use of resources, increasing the efficiency of its activity and making informed management decisions. It is shown that risk is an integral part of the economic activity of trading enterprises, which requires special attention and management efforts to ensure the stability and development of enterprises. Approaches to the creation of a complex risk management system with the selection of individual components, the integration of which will ensure the stability and sustainability of trading enterprises in conditions of uncertainty and rapid changes in the market environment, are proposed. A set of measures that will contribute to improving the competitiveness of trade enterprises and increasing their ability to adapt to changes in the economic environment are substantiated. Implementation of the proposed tools will allow trade enterprises to better understand and analyze the needs of their customers, thereby ensuring more efficient work in a risk-oriented environment. The principles of the use of digital technologies in the economy of a commercial enterprise are proposed, including such elements as big data analytics, marketing automation, personalized communications and the integration of various sales channels. This provides the ability to quickly adapt to changes in the market situation, reducing risks and increasing the efficiency of business processes of a trading company. It has been proven that the intensification of business activity and the reduction of risks of trade enterprises require a systematic approach, which includes strategic planning, innovation, effective management of resources and risk minimization. Implementation of the proposed strategies will help trading enterprises to increase their competitiveness, reduce risks and ensure stable development in conditions of market uncertainty.

Building a system of diagnostics of problem areas in the management of business processes of the organization

Aim. To develop and formulate an algorithm that allows timely diagnosing and eliminating problems in business processes.Objectives. To consider and systematize the main signs of problems in business processes; to determine the main sources, causes of losses and inefficiency; to formulate an algorithm that allows to assess the effectiveness of the process; to test the proposed algorithm for assessing the effectiveness of business processes on the example of a specific organization.Methods. The authors used the methods of descriptive literature review and statistical data analysis. The research includes the study and analysis of scientific articles, reports of scientific conferences and other publications related to the subject of the article. The analysis of statistical data is based on the performance of the organization, in particular the operator of urban mobility services. All data used for calculations are of a conditional nature.Results. In the process of research the works of modern authors related to the analysis of efficiency and diagnostics of problems in business processes are considered and generalized. In the mentioned works some theoretical aspects of the topic are widely and in detail studied, which are then systematized by the authors of the present study. As a result, an algorithm has been formed that allows in practice to monitor the efficiency of business processes of the organization, as well as to diagnose possible problems in a timely manner. When testing this approach in practice, in the context of the analysis of business processes in the organization, the following results were obtained: a number of critical problems in business processes that have a negative impact on the result of activity were identified; a plan to improve their efficiency was developed and implemented.Conclusions. The process approach is one of the most successful tools to improve the efficiency of the organization. Optimal operation of all key and essential business processes ultimately affects the company’s result. The operating conditions of an organization are constantly changing under the influence of a dynamic business environment. One of the most important elements of the efficiency management system for business processes, and consequently for the business as a whole, is a properly formed set of indicative indicators reflecting the progress of each process. The choice of indicators should be based primarily on the strategic goals of the organization, cascaded down to the level of individual processes. The study confirmed the hypothesis that the risks of efficiency reduction can be identified in advance and in a timely manner with the help of a correctly constructed system of simple control indicators. For these purposes, taking into account the concept of lean production and continuous improvement, as well as on the basis of the classification of losses set out in it, a questionnaire for express analysis of business process efficiency has been developed.

METHODICAL TOOLS FOR ANALYSING AND EVALUATING THE EFFECTIVENESS OF DIGITALISATION OF BUSINESS PROCESSES

The article systemises methodical instruments for evaluating efficiency of measures of digitalisation of business processes of enterprise. A schematic diagram of a general algorithm for evaluating the effectiveness of measures to digitalise the business process of enterprises has been developed. It is determined that assessing the degree of effectiveness of measures to digitalise the business processes of enterprise will also indirectly create conditions for identifying bottlenecks, based on which the management of enterprise will be able to make operational management decisions to optimise the business process through its digital development. It is substantiated that the assessment of business processes and their digitalisation should lie within the functional responsibilities of a certain entity; for this purpose, it is proposed to establish committees at the enterprise to assess the efficiency and digitalisation of business processes. In addition to formulating proposals for eliminating bottlenecks and directions and methods of digitising the company's business processes, the functional responsibilities of the Business Process Efficiency and Digitalisation Committee include the function of assessing the efficiency of an already digitised business process. For this purpose, the Committee develops analytical tools using established business process evaluation methods adapted to the evaluation of a digitised business process, which may include the PDCA cycle, internal audit of business processes, analysis of key performance indicators, functional and cost analysis, and analysis of stakeholder requirements. Each of the proposed instruments for evaluating the effectiveness of measures to digitalise the enterprise's business processes is adapted. It is summarized that when assessing the efficiency of business processes with a view to determining the need for their digital transformation or assessing the efficiency of a digitised business process, it is advisable for an enterprise to approach this issue in a comprehensive manner, namely, to develop clear policies and procedures by establishing and regulating the activities of the committee for assessing the efficiency of the enterprise's business processes by delegating to it a responsible person from each unit for managing business processes that create value or participate in this process.

The use of digital technologies for crisis management

Aim. To identify the role of digital technologies in the context of crisis management and the opportunities that digital tools provide for the development and growth of companies, even in the face of economic turmoil. To pay special attention to the study of effective practices of optimization and modernization of business processes using the latest digital tools, which con[1]tribute not only to increasing productivity and efficiency of business, but also its adaptation to rapidly changing market conditions.Objectives. To analyze the role of digital technologies in the context of crisis management, highlighting the opportunities that digital tools offer for the development and growth of companies, even in conditions of economic turmoil; to study the advantages of applying new business models using modern digital technologies; to consider the principle of operation of platform business models using examples and show the advantages of their use; to evaluate the financial performance of companies.Methods. The author applied the methods of complex and comparative analysis, as well as the study of foreign and domestic experience of digital transformation in crisis conditions. Considerable attention was paid to the work with periodicals, scientific articles and analytical reports in the field of crisis management and digitalization. In addition, methods of observation, generalization and comparison were used.Results. The study suggests that digital technologies contribute to improving the transparency and efficiency of business processes in crisis conditions. The main factors of successful digital transformation of organizations were identified and recommendations for their use were developed.Conclusions. According to the author’s position, the necessity of active use of innovative technologies in crisis management, as well as the importance of a strategic approach to digital transformation in a rapidly changing environment are obvious. The key element of successful crisis management is the active integration of digital technologies into business processes and the use of a strategic approach to digital transformation. Cultural and organizational aspects that ensure sufficient funding and management support are recognized as important factors. The use of online platforms allows organizations to effectively form a digital ecosystem, increasing competitiveness, which ultimately contributes to the successful achievement of business goals in a rapidly changing digital environment. The application of the proposed recommendations on the use of innovative technologies will help organizations not only to cope with the current crises, but will also contribute to their sustainable development and stabilization.

Multi-criteria Model for Production Plan Management of a Machine-building Enterprise

The concept of developing an intelligent system to manage the planning of a manufacturing enterprise, and a description of the functionality and modules of the information system are given. In general, operational planning is a complex task of optimizing the construction of a production plan, which includes several criteria and faces various limitations. Multi-criteria is associated with the need for order fulfillment priority in accordance with the law, and the non-linearity of the task is due to technological limitations of production. One of the criteria is to maximize the fulfillment of contractual obligations to supply products to customers. Another criterion is to maximize profits from the sale of the entire range of manufactured products. The limitations in this task are the storage capacity, availability of raw materials and components, the time of operations, the workload of equipment and the priority of orders. Two approaches to solve the optimization problem of managing the production plan are considered, and block diagrams of the implementation of the proposed algorithms are provided. In the first approach, the initial problem is reduced to a combination of linear programming problems, for which the simplex method or the Gomori method are used in practice. A more effective approach to solving this extreme problem is the use of a genetic algorithm and its modifications. The scientific novelty of the conducted research lies in the systematic application of mathematical and computer modeling methods to build an optimal operational production plan. The experience of practical implementation of software systems confirms that intelligent production plan management systems are able to increase the efficiency of enterprise business proce sses, allowing organizations to plan production and allocate resources in market conditions optimally.

Perancangan Sistem ERP Modul Point Of Sale Berbasis Odoo Pada Banyuwangi Festival Dengan Metode Rapid Application Development

The sales report of SMEs at the Banyuwangi Festival is an indicator of the success of the festival. In the process of collecting the sales report, the Banyuwangi Tourism and Culture Office, as the current responsible party, still does it without an information system, making the management of the sales report of SMEs at the Banyuwangi Festival inefficient. Using the Rapid Application Diagram (RAD) method, the design of an ERP system in the form of a point of sale module based on the Odoo application at the Banyuwangi Tourism and Culture Office and the Banyuwangi Festival SMEs is carried out to obtain an efficient process of collecting the sales report of SMEs at the Banyuwangi Festival. The design using the RAD method is carried out to obtain results that are in line with user needs. The results of this research show that the designed ERP system can improve business process efficiency for institutions and efficient sales management for SMEs. The impact of this research is expected to improve data management accuracy, increase collaboration, and optimize sales of Banyuwangi Festival SME products.

ANALYSIS OF THE USE OF BLOCKCHAIN AND SMART CONTRACT TECHNOLOGIES FOR MANAGEMENT AUTOMATION AND ENSURING BUSINESS RESILIENCE

Increasing competition, the need to enhance efficiency and transparency of business processes, as well as the requirements to ensure the security and reliability of operations, demand new tools and approaches for automating management and ensuring the sustainability of the enterprise. Currently, it is blockchain and smart contract technologies that are opening up vast opportunities for this. Therefore, the research is aimed at a comprehensive analysis of the features and directions of using blockchain and smart contract technologies for automating management and ensuring the sustainability of the enterprise. Within the research, it has been proven that the use of blockchain and smart contract technologies creates a flexible and secure process for developing conditions and strategies that allow an enterprise to function effectively and remain capable of ensuring its own progressive development even in conditions of high stochasticity, economic turbulence, or crises. It is concluded that among the main directions where the use of blockchain technologies for ensuring enterprise resilience is worthwhile, the following should be highlighted: supply chain management, balanced management, security management, and basic risk management, as well as managing relationships with customers and partners. In unity, these outlined directions establish the principles of automating enterprise management, enhance its ability to function effectively, and direct its progressive development. It is concluded that among the main directions where the use of smart contracts for ensuring enterprise resilience is beneficial, the following should be highlighted: access and security management, remote tracking of resource utilization, automation of production and commercial processes, improvement of customer service, and management of data processing workflows. In unity, these outlined directions establish the principles of enterprise management automation, guiding and expanding the enterprise's capabilities for progressive development. In the context of ensuring enterprise resilience, the goal of applying smart contracts and blockchain technologies can vary. However, the use of these outlined technological solutions should guarantee the enterprise's ability to withstand external and internal influences.

Maximizing Organizational Performance: The Synergy of AI and BI

Objective: This paper focuses on ways artificial intelligence and business intelligence technologies can be utilized to improve the efficiency of an organization, this paper aims to propose a framework for organizational use to leverage AI and its performance in organizations. Theoretical Framework: In this topic, the author proposes a framework for integrating AI and BI, which includes the following components: data collection and statistical analysis, machine learning algorithms, visualization, and integration with BI systems. Method: This study will employ a statistical methodology called multiple regression, the analysis helps to examine the relationship between a dependent variable (organizational performance) and multiple independent variables (extent of BI integration, extent of AI integration, and AI and BI integration). Results and Discussion: Combining AI and BI in business processes improves decision-making, increases efficiency, and enhances customer experiences. AI automates complex processes, detects patterns, and predicts based on vast data, enhancing BI systems. AI-powered BI systems give businesses a competitive edge by improving decision-making, performance, and customer engagement. Integrating AI and BI leads to improved organizational performance. Research Implications: This paper stresses the significance of evaluating organizational structure before implementing AI-based systems. It guides infrastructure requirements for successful AI implementation in business, emphasizing security implications when making decisions based on AI-generated data. Originality/Value: Integrating AI and BI can lead to faster and more efficient business processes, resulting in higher performance. AI technology can revolutionize decision-making across industries, including business. Practical recommendations are available on how to use AI to improve decision-making in organizations.

THE ESSENCE OF RISK IN THE CONTEXT OF DIGITALISATION (the case of service companies)

Abstract. Digitalisation, which has become an integral part of modern business, opens up new horizons and opportunities for enterprises in the service sector. However, along with increased digital transformation, new types of risks arise carrying both potential threats and opportunities for development. The purpose of this work is to identify the main risk factors and aspects that arise as a result of the digitalisation of service enterprises, as well as to reveal opportunities that can be adopted to manage these risks. The impact of digitalisation on the efficiency of business processes, interaction with customers, information security and data management in service enterprises is analysed. The author considers innovative approaches and strategies that enterprises can use to manage and reduce risks arising in the context of digital transformation.

Social lack of communication and technological development

The development of today's society imposes the challenge of incorporating information and communication technologies (ICT), which has favored the productivity and efficiency of business processes, generally leading them to have better levels of profitability. This technological development can consider the media as an instrument of collective socialization, however, the process of digital virtualization is causing a fracture between the real and virtual world, a model of coexistence typical of globalized societies, characterized by extreme individualization and the virtualization of the communicative experience, we do not face the society of lack of communication, considering it as a process that prevents a fluid and healthy two-way interpersonal relationship. The article raises the hypothesis that we live in the century of individualization, of the loss of human relationships, caused by the spell caused by new technologies and that promotes detachment between people and the excessive preference for virtual communication.

ҚОНАҚ ҮЙ ҚЫЗМЕТІНІҢ БИЗНЕС - ПРОЦЕСТЕРІН МОДЕЛЬДЕУ

The article is devoted to the management and modeling of business processes of a hotel enterprise. One of the current trends in the development of the hotel business is a significant increase in competition. Therefore, in order to create a competitive advantage, hotel companies use various approaches and tools aimed at attracting customers, providing quality services and improving the image of the hotel. One of these approaches for hotel companies is the implementation and management of innovative and efficient business processes. A necessary step in the effective application of the process approach in the management of an enterprise is the modeling of business processes. During the research, diagrams of business processes of hotel services were developed using the standardized BPMN methodology. Using these BPMN diagrams, you can determine the end result of the entire process, and analyze the activities of the enterprise. The proposed model can be used in the development of hotel service standards, identification of weaknesses and vulnerabilities in the hotel service, training of hotel staff, as well as in the educational process in the training of highly qualified specialists.

Proposal of innovative smart solutions for retail store in order to support competitiveness and sustainable development

The Internet of Things (IoT) is becoming an increasingly important concept in various areas of our daily lives. With the development of information and communication technologies, the possibilities of IoT implementation are also expanding. The retail sector is also starting to make more significant use of IoT to improve and increase the efficiency of its business processes and more effective interaction with customers. Even though several partial IoT solutions have been implemented in retail, according to publicly available sources, there is no comprehensive IoT implementation in this sector. Therefore, we focused on the possibilities of creating a comprehensive proposal for the use of IoT in a retail enterprise in Slovakia. The main reasons for this transformation are the development of intelligent technologies, the increased demand of consumers for more convenient purchases and the efficiency of business processes, as well as to increase the competitiveness of the company. The aim of the contribution is to create a proposal for the implementation of IoT in retail, which will contribute to the sustainable development and competitiveness of the company. The result of the contribution is the creation of a proposal for the integration of the Internet of Things in retail, while the proposal is also applicable in other similar enterprises. The research methodology includes secondary sources and primary inquiry using an online questionnaire. The results of the primary research showed that a large part of respondents are interested in using IoT solutions in retail and that the implementation of these solutions affects their purchasing behavior. The conclusions of the paper indicate that the implementation of IoT solutions in retail would have a positive impact on the competitiveness of businesses. Factors that influence the choice of brick-and-mortar and online stores by customers were also identified. Customers’ interest in IoT solutions, as well as their preferences when choosing stores, represent a guideline for businesses operating in the retail sector. The implementation of the proposed solutions is relatively demanding on financial resources, therefore a good financial condition of the company is a necessary condition. Further research should focus on the security risks, barriers, ethical privacy issues associated with the use of IoT in retail stores.

Analysis of Accounting Information System for Raw Material Inventory at PT. Smart Tbk. Padang Halaban

The Accounting Information System (AIS) is a vital component in providing financial and accounting data, along with information related to daily accounting transactions. This research focuses on evaluating the effectiveness of AIS using ERP-SAP in managing raw material inventory and supporting production efficiency at PT. Smart Tbk. Padang Halaban, a palm oil plantation company. The qualitative descriptive method was employed to gather data through literature review, interviews, and direct observations. The results of the study indicate that the implementation of AIS using ERP-SAP has improved the standard of financial reporting, meeting the required qualitative criteria. However, limitations exist in the AIS application, particularly regarding suboptimal raw material inventory tracking and integration issues between different systems, such as inventory and accounting systems, leading to data discrepancies. The conclusion drawn from this research highlights the necessity for adjustments, developments, and improvements in AIS features to meet the specific company requirements. The implications of these findings emphasize the importance of continuously optimizing AIS to support more efficient and accurate business processes, while adapting to technological advancements and company needs.

Business Process Reengineering with a Circular Economy PDCA Model from the Perspective of Manufacturing Industry

In times of increasing awareness of sustainability and the need for efficient business processes, this study explores the integration of business process reengineering with circular economy principles within Serbian manufacturing organizations. Addressing the need for sustainable development, the research aims to propose and validate a model that harmonizes business process reengineering with the circular economy to improve environmental and organizational performance. The study conducted an extensive survey and analysis across 135 manufacturing organizations in Serbia, assessing their readiness and current practices in adopting circular economy strategies through business process reengineering, utilizing the Plan-Do-Check-Act (PDCA) model. The findings reveal a moderate level of integration, with an average implementation score of 44.70% across surveyed organizations. Notably, organizations with ISO 9001 and ISO 14001 certifications demonstrated higher levels of model implementation. The study highlights the potential of integrating business process reengineering with circular economy principles as a path to sustainable manufacturing. It also highlights the need for targeted strategies to improve management commitment, resource allocation, and participation in sustainable practices. The research contributes valuable insights for policymakers, industry stakeholders, and academic discourse, advocating for a more systematic approach to embedding circular economy principles within organizational processes for a sustainable future.

Effective management of business processes in the modern world

The article examines the key aspects of effective business process management in modern conditions. Emphasizes the importance of analyzing and optimizing work processes as the key to increasing company productivity and profitability. Provides an overview of the benefits of business process management, including increased efficiency, reduced costs, and improved customer service. A systematic approach to building such a system is described, including process mapping, implementation of regulations and the use of modern technologies. The impact of enterprise modernization and organizational changes on the efficiency of business processes is also considered. In addition, attention is paid to the role of people in this process, emphasizing the importance of staff training and developing a culture of continuous improvement. Finally, the article analyzes Key Performance Indicators of business processes and recommendations for conducting internal audit.

Digital society: State and development prospects

The digital society is characterised by the use of various technologies and exhibits diverse developmental trends. Digitalisation facilitates everyday life and enhances business process efficiency. The research aims to identify the origins of the digital society, assess its current state of development and future prospects, and analyse the impact of digitalisation on social life. The methodology is based on scientific research principles, employing general scientific methods of cognition, critical analysis, observation, and synthesis. The article reveals the role and significance of artificial intelligence in the development of the digital society and the potential problems and risks of its use: the generation and dissemination of misinformation, risks of violating personal privacy, risks of increasing inequality, and the emergence of ethical dilemmas in the use of artificial intelligence. It is concluded that alongside the opportunities opened up by the digital society, there are challenges and threats. These include overcoming the information crisis, recognising the priority of information compared to other resources, and forming a new sector of the information economy. Alongside these benefits, challenges arise, such as the impact of digital communication channels, the intrusion of technology into private life, and issues concerning the reliability of information. Ensuring cybersecurity and privacy is becoming a crucial and pressing task. It is also necessary to ensure responsible use of technology and artificial intelligence to avoid negative consequences such as inequality in access to technology and job losses due to digital transformation. While there is great potential for using technology to improve lives, its development and implementation must be carefully managed to maximise benefits and minimise risks. This will require global cooperation, responsible policies, ethical approaches, and the preparation of citizens for the realities of the digital world

Analyzing and building information resources to support decision making in educational systems

The author discusses the analysis and building of information resources for decision-making systems and efficient business processes management within the framework of the operating digital twin of educational institution. She reviews the general approaches to building the knowledge bases of the decision-making systems, and identifies the factors to be taken into account when building the databases. The author discusses literature analysis and monitoring tools, analyzes the publication activity in science periodicals and provides the data of sematic charts monitoring separately for 2015 and 2020 in several areas: education computerization, continuing education, education digitalization, remote learning systems, digital courses, digital education, electronic libraries, information and communication technologies, massive open online courses and virtual education. The data of Web of Science were used. The semantic charts are built on the basis of co-occurence of scholarly sources keywords using VOSviewer software that extracts terms from abstracts and article keywords and adding them to the entity

ASSESSMENT OF THE EFFICIENCY IN FUNCTIONING OF BUSINESS PROCESSES AT TRANSPORT AND LOGISTICS ENTERPRISES

In order to identify the most problematic areas where delays, errors or ineffectiveness of transport and logistics activities occur and to develop measures to improve processes and improve their interaction, it is necessary to evaluate the effectiveness of business processes. The efficiency of business processes of transport and logistics enterprises depends on a comprehensive approach, risk management and constant evaluation of results. Knowing the efficiency of business processes, you can better plan working hours, allocate resources and the budget; optimization measures will help reduce costs, increase productivity and improve the quality of transport and logistics services.Nowadays, many modern methods of evaluating the effectiveness of business processes at enterprises have been developed and used, which differ in approaches to the identification and classification of business processes as a basis for evaluation, a list of criteria, and an emphasis on various aspects and stages.The article proposes a methodical approach to the assessment of business processes at a transport and logistics enterprise, which is based on determining the sequence of business processes in order to satisfy the needs of consumers. Formation of a system of indicators characterizing the resources (input) of the business process and the process and its result (output) are also important, as well as establishing the importance and effectiveness of each business process. The main difference of the approach is the ability to assess both the internal structure of business processes (by analyzing the functioning of each of its elements) and the contribution to the company's final result.The directions of further scientific research are the development of a set of measures and a system for ensuring the effectiveness and efficiency of the functioning of business processes of transport and logistics enterprises: establishing standards and procedures that will allow optimizing business processes and constantly improving them; the use of modern technologies and tools, such as process automation, logistics chain management systems, monitoring and control, which in general will allow the enterprise to achieve higher results, increase competitiveness and satisfy customer needs.

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

The efficiency of business processes relies on business key performance indicators (Biz-KPIs), that can be negatively impacted by IT failures. Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multivariate time series data. Forecasting Biz-KPIs in advance can enhance efficiency and revenue through proactive corrective measures. However, BizITObs data generally exhibit both useful and noisy inter-channel interactions between Biz-KPIs and IT events that need to be effectively decoupled. This leads to suboptimal forecasting performance when existing multivariate forecasting models are employed. To address this, we introduce AutoMixer, a time-series Foundation Model (FM) approach, grounded on the novel technique of channel-compressed pretrain and finetune workflows. AutoMixer leverages an AutoEncoder for channel-compressed pretraining and integrates it with the advanced TSMixer model for multivariate time series forecasting. This fusion greatly enhances the potency of TSMixer for accurate forecasts and also generalizes well across several downstream tasks. Through detailed experiments and dashboard analytics, we show AutoMixer's capability to consistently improve the Biz-KPI's forecasting accuracy (by 11-15%) which directly translates to actionable business insights.

Cognitive Modeling of Cargo Port Risk Management

Рurpose of research. Increasing the efficiency of cargo port business processes through the use of risk management technology based on the application of a cognitive modeling.Methods. A cognitive modeling of cargo port risk management is proposed, based on a comprehensive step-by-step application of the concept of multi-level goal setting, which involves a thorough elaboration of the cargo port's goals, as well as indicators for assessing the achievability of goals by developing a balanced scorecard (BSS) and constructing a logicalprobabilistic (LP) model; a logical-ontological model developed on the basis of the connections established by the LP model; a simulation model used to check recommendations for adjusting the elements of the system under consideration, developed on the basis of queries to the ontological model, in order to select the most acceptable options for recommendations or combinations thereof and formulate management decisions based on them. Results. Based on the formulated purpose of the study and the assigned tasks, a concept of cognitive modeling was developed, which involves the use of knowledge about the connections between risks, goals, indicators for assessing port activities, as well as clarifying coefficients and the nature of their influence on each other in order to develop recommendations for managing the risks of a cargo port at based on queries to the ontological model. The simulation model within the framework of the proposed conceptual approach allows us to develop management decisions on adjusting the operational components of the system in order to prevent risk situations in the long term (at the tactical and strategic levels) taking into account the influence of external factors. Cognitive modeling is based in this work on the integration of logical-probabilistic, logical-ontological and simulation modeling. Conclusion. As a result of the implementation of the set goals and objectives, a cognitive model of cargo port risk management was proposed. This model combines various types of modeling and takes into account different levels of management. As a result of experiments with a simulation model, the most effective recommendations generated based on a query to the ontological model are selected as management decisions.