Course detail

Information Support of Processes

FP-SippPAcad. year: 2022/2023

The course is focused on making students familiar with important processes on business areas, their analysis and design of effective support in information systems and using advanced technologies leading to digitalization of business processes.

Language of instruction

English

Number of ECTS credits

5

Mode of study

Not applicable.

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

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.

Prerequisites

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.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

Assesment methods and criteria linked to learning outcomes

The course-unit credit is awarded on condition of having attended practicals, presentation of semestr project and grading of credit test (min. 60 point).

Course curriculum

Lectures:
Introdution to processes in company, information strategy
Process modelling, tools and methodology
Information support of product lifecycle management - PLM systems
Information support of operational management - MES systems
Integration of information systems
Digital factory
Intelligent factory
Practicals:
Practicals are focused to practical application of lectures topics, application of methodology of computer process suport, modelling of company processes using discrete event simulation.

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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.

Recommended reading

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.

eLearning

Classification of course in study plans

  • Programme MGR-Z Master's

    branch MGR-Z , 1. year of study, winter semester, elective

  • Programme MGR-SRP Master's, 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

Introdution to processes in company, information strategy
Process modelling, tools and methodology
Information support of product lifecycle - PLM systems
Information support of operational management - MES systems
Integration of information systems Linking ERP, CRM, SCM, MES
Digital factory
Intelligent factory

Computer-assisted exercise

13 hours, compulsory

Teacher / Lecturer

Syllabus

Practicals are focused to practical application of lectures topics, application of methodology of computer process suport, modelling of company processes using discrete event simulation and using methods data analyses through data mining.

eLearning