English

Not applicable.

Successful completion of the course is conditional on the knowledge of planning and managing of manufacturing processes, basic knowledge of statistics, production systems analysis and ERP systems.

The course-unit credit is awarded on condition of having attended practicals, presentation of semestr project and grading of credit test (min. 60 point).
Attendance at specified lectures is compulsory, attendance of remaining lectures is not compulsory, but is recommended. Attendance at seminars is compulsory and controled. Absence from seminars can be compensated for consultations with the tutor.

The objective of course is to make students familiar with principles, analytical tools, modelling tools and managing of company processes. The course is also addresses the problem of support of company processes linked to information systems and technologies through their life cycle.
Students will be able orientation of IT/ICT support of company processes. They will be able to creatively participate in automation and effective improvement of all processes in company.

Not applicable.

Not applicable.

BANKS, Jerry. Discrete-event system simulation. 4th ed. Upper Saddle River: Pearson Prentice Hall, 2005, xvi, 608 s. : il. ISBN 0-13-144679-7.
DUMAS, Marlon. Fundamentals of Business Process Management. 2nd ed. 2018. ISBN 978-3-662-56509-4.
FLEISCHMANN, Albert. Contextual Process Digitalization: Changing Perspectives - Design Thinking - Value-Led Design. 2020. ISBN 978-3-030-38300-8.
TAO, Fei. Digital Twin Driven Smart Manufacturing. 2019. ISBN 9780128176313.

FITZGERALD, Brian. Scaling a Software Business: The Digitalization Journey. 2017. ISBN 978-3-319-53116-8.
STRANDHAGEN, Jo Wessel, Sven-Vegard BUER, Marco SEMINI a Erlend ALFNES. Digitalized manufacturing logistics in engineer-to-order operations. Springer Verlag, 2019. ISBN 9783030299965.