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330.308 Production Information Management Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

  • distinguish Information Systems, Production Information Management Systems (PIMS), Cyber-Physical Production Systems (CPPS) and their interrelations
  • name, distinguish and explain PIMS architecture
  • give examples of, apply and assess Requirements Engineering of PIMS for CPPS
  • discuss and apply Business Process Management and modelling languages (UML and BPMN)
  • describe and explain Process Mining methods
  • discuss potentials of Cloud Computing services for PIMS and explain GAIA-X
  • summarise Digital Twin and Blockchain technologies, as well as their potentials for PIMS.
  • describe and define PIMS architecture for a specific CPPS use-case
  • apply Requirements Engineering of PIMS for a CPPS use-case
  • differentiate and formulate stakeholder and system requirements
  • design and model a concept for PIMS

The ultimate goal is to develop advanced competences in information systems design and evaluation as a prerequisite for cyber-physical production systems.

Subject of course

  • Importance of Data and Information in Cyber-Physical Production Systems (CPPS)
  • Information Systems (IS)
  • Production Information Management Systems (PIMS)
  • Types of PIMS and the automation pyramid
  • Reference architectures of PIMS
  • Requirements Engineering
  • Requirements specification for PIMS in natural language and modelling languages (BPMN, UML)
  • Business process management and process mining
  • Cloud computing services for PIMS
  • Potential of Digital Twin and Blockchain technology for PIMS
  • Case studies for PIMS
  • Design and modelling of use-case(s)

Teaching methods

Lecture, discussion of case studies, independent groupwork on case studies.

Possibly enhanced by E-learning concepts.

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue09:00 - 11:0004.10.2022 - 17.01.2023Theresianumgasse HS 1 - MWB Lecture
Mon09:00 - 11:0010.10.2022Theresianumgasse HS 1 - MWB Lecture (substitute for 11.10.)
Mon09:00 - 11:0017.10.2022Theresianumgasse HS 1 - MWB Lecture (substitute for 18.10.)
Mon09:00 - 11:0005.12.2022Theresianumgasse HS 1 - MWB Lecture (substitute for 06.12.)
Production Information Management Systems - Single appointments
DayDateTimeLocationDescription
Tue04.10.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture
Mon10.10.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture (substitute for 11.10.)
Mon17.10.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture (substitute for 18.10.)
Tue25.10.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture
Tue08.11.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture
Mon05.12.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture (substitute for 06.12.)
Tue13.12.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture
Tue20.12.202209:00 - 11:00Theresianumgasse HS 1 - MWB Lecture
Tue17.01.202309:00 - 11:00Theresianumgasse HS 1 - MWB Lecture

Examination modalities

Written exam and groupwork, oral contribution, attendance

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue16:00 - 18:0021.01.2025 https://tuwel.tuwien.ac.at/course/view.php?id=65951written21.12.2024 09:00 - 19.01.2025 09:00TISSOnline exam

Course registration

Begin End Deregistration end
13.09.2022 00:00 31.10.2022 23:59 30.11.2022 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 482 Mechanical Engineering - Management Not specifiedSTEOP
Course requires the completion of the introductory and orientation phase
066 926 Business Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
ALG For all Students Not specified

Literature

No lecture notes are available.

Previous knowledge

  • Basics of system modeling
  • Basics of production management
  • Basics of programming
  • Advanced English
  • Recommended: Courses from the Smart Production Systems module

Miscellaneous

  • Attendance Required!

Language

English