634-0902/05 – Operations Management (ŘVP)

Gurantor departmentDepartment of Economics and Management in IndustryCredits10
Subject guarantorprof. Ing. Petr Besta, Ph.D.Subject version guarantorprof. Ing. Petr Besta, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFMTIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
BES04 prof. Ing. Petr Besta, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Part-time Examination 20+0

Subject aims expressed by acquired skills and competences

Student will well informed in principles and conceptions using for operative, tactical and strategic operations management, will be able to analyses, evaluate, design and improve production processes, use methods and tools of the production planning and control, capacity planning and inventory control in production processes.

Teaching methods

Individual consultations
Project work

Summary

The subject is focused on the management of production processes using advanced managerial decision-making tools. Sub-sections are devoted to modern tools, methods and concepts for managing and optimizing production systems at all managerial levels. The orientation is also focused on the use of tools based on fuzzy logic, genetic algorithms and neural networks in the production control process.

Compulsory literature:

KHOJASTEH, Y. Production Management: Advanced Models, Tools, and Applications for Pull Systems. Boca Raton: CRC Press, 2017. ISBN 978-1-138-03221-7. PANNEERSELVAM, R. Production and Operations Management. New Delhi: PHI Learning Pvt., 2012. ISBN 978-81-203-4555-3. GUPTA, S. and M. STARR. Production and Operations Management Systems. Boca Raton: CRC Press, 2014. ISBN 978-1-466-50734-0. KHANNA, R. B. Production and Operations Management. Delhi: PHI Learning Pvt. Ltd., 2015. ISBN 978-8-120-35121-9.

Recommended literature:

MONDEN, Y. Toyota Production System: An Integrated Approach to Just-in-time. London: Springer Science & Business Media, 2012. ISBN 978-1-461-59714-8. SILVER, E. A., D. F. PYKE and D. J. THOMAS. Inventory and Production Management in Supply Chains. Boca Raton: CRC Press, 2016. ISBN 978-1-315-35680-8.

Way of continuous check of knowledge in the course of semester

Consultation

E-learning

Other requirements

Elaboration of seminar work on a given topic. Knowledge of all key concepts, principles, methods and tools according to the subject's curriculum.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Manufacturing process management - objectives, principles, main and support activities. 2. Pull and push system - principle, material flow management concept, MRP, ERP, JIT, Kanban. 3. Levels of management (strategic, tactical, operational) - goals, tools, links. 4. Tools for designing production processes and production areas and their use. 5. Production process planning - Advanced production planning tools (APS / SCM Systems). 6. Four basic planning algorithms of APS - ATP, AATP, CTP, PTP. 7. Mathematical modeling in process control systems of production systems. 8. Use of artificial intelligence tools in production control (fuzzy logic, genetic algorithms, neural networks). 9. Agile supply chains, principle, chain building, risks, tools, links to production processes. 10. Industry Concept 4.0. - principle, focus, tools. 11. Digitization of production processes - definition, implementation process, risks, links to other segments of the production organization. 12. Automation and robotics in production conditions - possibilities of utilization, alternative solutions of production processes, substitution of basic production operations. 13. Advanced tools for production quality control, advanced identification technology.

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 points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems P English Ostrava Choice-compulsory type B study plan
2019/2020 (P0413D270001) Management of Industrial Systems K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner