345-0537/05 – Modelling of Production Processes and Systems (MVPS)

Gurantor departmentDepartment of Mechanical TechnologyCredits4
Subject guarantorIng. Vladimíra Schindlerová, Ph.D.Subject version guarantorIng. Vladimíra Schindlerová, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HRU45 prof. Ing. Jiří Hrubý, CSc.
SED095 Ing. Vladimíra Schindlerová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 1+3

Subject aims expressed by acquired skills and competences

Ability - to classify a principles of physical and numerical modeling - to interpret these principles in methods of production processes analysis - to model a subjects response on processes parameters - to differentiate methods of analysis following their application - to describe modelling method - to apply modelling methods in manufacturing processes

Teaching methods



The aim of the course is based on previous knowledge, to deepen knowledge of the specification of manufacturing processes and systems using different procedures and methods of implementation. The subject is implemented at two levels, the solution of the model structure of production processes with interactive models linked to specific technological processes of thermomechanical processing and metallurgy.

Compulsory literature:

[1] OH, S. I. LAHOTI, G. D. ALTAN, T. Application of FEM to Industrial Metal Forming Processes. Numerical methods in Industrial Forming Processes, Pittman, J. F. T. at al (eds) Pineritge Press Ltd., Swansea, U.K., 1982 [2] BOOCH, G., JACOBSON, I., RUMBAUGH, J. The Unified Modeling Language User Guide, Addison Wesley Longman, Inc., 1999 [3] KOBAYASHI, S. aj. Metal Forming and the Finite-Element Method, Oxford University Press, Oxford [4] GRONG, O. Metallurgical Modelling of Welding.The Institute of Material, London, 1994, 581 s., ISBN 0901716375

Recommended literature:

[1] WIL VAN DER AALST, KEES VAN HEE. Worklflow Management, Models, Methods, and Systems. MIT Press, 2002 [2] WIL VAN DER AALST. Formalization and Verification of Event-driven Process Chains. Information and Software Technology, 41(10):639-650, 1999.

Way of continuous check of knowledge in the course of semester


Other requirements

The student prepares analytical and experimental problems in the manufacturing technology.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. System - the characteristics and definitions. System modeling, properties of elements. 2. Similarity as a basis for modeling. Types of models. Process modeling. 3. System analysis. System design methodology. 4. Methods of software modeling of manufacturing processes. 5. Spatial structures of production systems and processes, optimization 6. Application of heuristic methods to solve mathematical models. 7. Models of energy flow, material and personnel costs in the structure of systems and processes. 8. Simulation techniques - basic concepts, procedures for the identification and management of production processes. 9. Application of simulation methods, modelling software, visualization and interpretation. 10. Modelling and simulation of processes of phase and microstructural changes. 11. Modelling and simulation of metallurgical processes, welding and cutting. 12. Modeling and simulation of processes of plastic deformation. 13. Virtual factory. 14. Data flows in technological design.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Graded credit Graded credit 100  51 3
Mandatory attendence participation: Active attendance at seminars at least 80%.

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (N0715A270009) Industrial Engineering P English Ostrava 2 Compulsory study plan
2022/2023 (N0715A270009) Industrial Engineering P English Ostrava 2 Compulsory study plan
2021/2022 (N0715A270009) Industrial Engineering P English Ostrava 2 Compulsory study plan
2020/2021 (N0715A270009) Industrial Engineering P English Ostrava 2 Compulsory study plan
2019/2020 (N0715A270009) Industrial Engineering P English Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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