Faculty of Economics and Management

Тraining course Simulation analysis and modeling of enterprise activity

COURSE ANNOTATION

training course "Simulation analysis and modeling of enterprise activity"

Recommended for students pursuing a first (bachelor’s) level of higher education

Course Objective

The aim of the course is to form competencies (knowledge, skills, and abilities) regarding modern analytical and simulation tools used to support decision-making at the enterprise level, as well as within individual functional subsystems (marketing, logistics, production, investment, finance, etc.). The course involves the use of specialized software.

Interdisciplinary connections of the discipline

The training course “Simulation Analysis and Modeling of Enterprise Activity” is organically integrated with disciplines such as “Microeconomics,” “Macroeconomics,” “Enterprise Economics,” “Statistics,” “Finance,” “Accounting,” “Applied Informatics,” and “Applied Modeling.”

Learning Outcomes, Teaching Methods, and Assessment Tools

Table 1 – Teaching Methods and Assessment Tools for "Simulation Analysis and Modeling of Enterprise Activity" according to learning outcomes

Learning Outcomes

Teaching Methods

Assessment Tools

1

Knowledge:

1.1

Knowledge of the content, potential, and limitations of analytical and simulation support for enterprise management at the general system level and within individual functional subsystems (marketing, logistics, production, investment, finance, etc.)

Lectures, multimedia, discussions

Survey, evaluation of the results of analytical reports, test (module) work, final test

1.2

Knowledge of modern analytical and simulation technologies (methodologies) for modeling uncertain (inaccurate and incomplete) data and the risks generated by economic uncertainty

Lectures, practical activities, discussions

1.3

Knowledge of the features, potential, and limitations of scenario analytical technology (methodology) for modeling enterprise activity, including under conditions of increased interdependence among industry operators

Lectures, practical activities, discussions

1.4

Knowledge of the potential and limitations of management and financial reporting of an enterprise, as well as public informational and analytical systems for simulation analysis and modeling of enterprise activity

Lectures, practical activities, discussions

1.5

Knowledge of the content, potential, and limitations of analytical and simulation support for enterprise management at the general system level and within individual functional subsystems (marketing, logistics, production, investment, finance, etc.)

Lectures, practical activities, discussions

2

Skills:

2.1

Ability to form a suitable model of analytical and simulation support for enterprise management and generate decisions based on it at the general system level, concerning the enterprise as a whole or its individual business areas

Практичні заняття, комп’ютерні тренінгові завдання

Evaluation of the results of performing analytical and computational and computer training tasks, preparation of analytical reports, test (module) work, final test work

2.2

Ability to process the data generated within the selected model of analytical and simulation support and generate decisions based on it, concerning individual functional subsystems of the enterprise (marketing, logistics, production, investment, finance, etc.)

Practical activities, computer training workshops

2.3

Ability to structure information support for enterprise management by the degree of certainty (determinacy) of its components, model and conduct risk analysis of key economic indicators with a high degree of uncertainty using modern analytical approaches and simulation technology

Practical activities, computer training workshops

3

Communication:

3.1

Ability to work in teams and interact with individuals in the process of making economic and management decisions

Practical activities, computer training sessions, discussions

Evaluation of the results of computer training tasks, preparation of analytical reports, test (module) work, final test

3.2

Ability to maintain professional communication (public speaking, negotiations, meetings, electronic communications, etc.)

4

Responsibility and Autonomy:

4.1

Ability to recognize personal responsibility for making management decisions related to the key functional subsystems of the enterprise and determining its economic outcomes

Practical activities, computer training sessions

Evaluation of the results of computer training tasks, preparation of analytical reports, test (module) work, final test

4.2

Ability to bear responsibility for making management decisions related to the key functional subsystems of the enterprise and determining its economic outcomes

 

Course Content by Topics

Module 1

Topic 1. Structure of Enterprise Business Processes, Their Information Support, and Analytical and Simulation Support

Topic 2. Information Support and Analytical and Simulation Support for Enterprise Marketing Activities

Topic 3. Analytical Support for Enterprise Supply Management of Raw Materials, Materials, and Energy Resources

Topic 4. Information Support and Modeling of the Enterprise Production Program

Topic 5. Information Support and Analytical and Simulation Support for Enterprise Production and Sales Decision-Making Under Environmental Uncertainty

Module 2

Topic 6. Information and Analytical Support for Managing the Structure and Reproduction of the Enterprise Technical and Technological Base

Topic 7. Information Support and Analytical and Simulation Tools for Supporting Enterprise Investment Decisions

Topic 8. Information and Analytical Framework for Managing Enterprise Financial Operations and Financial Investments

Topic 9. Information and Analytical Potential of Enterprise Management and Financial Reporting and Public Information and Analytical Systems

Topic 10. Information Support and Tools for Diagnostics of the Enterprise Financial Condition

Faculty Members Teaching the Course

Oleksiy Kotsyuba, Doctor of Economics, Associate Professor, Department of Business Economics and Entrepreneurship, kotsyuba.oleksiy@kneu.edu.ua

Recommended Information Sources

1. Luhinin, O.Y. et al. Use of Information Technologies in Decision-Making Theory: Textbook. Odesa: OLDI-PLUS, 2019. 238 p

2. Bishovets, N.H., et al. Probabilistic and Statistical Modeling in Excel for Decision-Making: Textbook / edited by A.I. Kuzmychov. Kyiv: Lira-K, 2020. 199 p

3. Karimov, H.I., Karimov, I.K. Modeling and Forecasting in Management: Computer Practice in MS Excel: Textbook. Kamianske: DDTU, 2023. 145 p

4. Lozovyk, Y.M., Halperina, L.P. Business Simulation "Titans of Business": Practical Guide. Kyiv, 2015. 185 p

5. Lozovyk, Y.M., Halperina, L.P. Computational-Analytical Complex of Business Simulation "Titans of Business". Kyiv, 2017. 206 p

6. Guerrero, H. Excel Data Analysis: Modeling and Simulation 2nd ed. Cham: Springer, 2019. 358 p

7. Rees, M. Business Risk and Simulation Modeling in Practice: Using Excel, VBA, and @RISK. Chichester: John Wiley & Sons, 2015. 464 p

8. Winston, W. Microsoft Excel Data Analysis and Business Modeling. 7th edition. Microsoft Press, 2022. 1168 p.

Last redaction: 10.02.26