Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Module INF-66-51-M-6

Digital Production Systems (M, 4.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-66-51-M-6 Digital Production Systems 4.0 CP (120 h)

Basedata

CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in SuSe
Level [6] Master (General)
Language [DE/EN] German or English as required
Module Manager
Lecturers
Area of study [INF-ES] Embedded Systems and Robotics
Reference course of study [INF-88.79-SG] M.Sc. Computer Science
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
2V+1U INF-66-51-K-6
Digital Production Systems
P 42 h 78 h
U-Schein
ja PL1 4.0 SuSe
  • About [INF-66-51-K-6]: Title: "Digital Production Systems"; Presence-Time: 42 h; Self-Study: 78 h
  • About [INF-66-51-K-6]: The study achievement "[U-Schein] proof of successful participation in the exercise classes (ungraded)" must be obtained.
    • It is a prerequisite for the examination for PL1.

Examination achievement PL1

  • Form of examination: written or oral examination
  • Examination Frequency: each semester
  • Examination number: 66651 ("Digital Production Systems")

Evaluation of grades

The grade of the module examination is also the module grade.


Contents

  • Computer-based control of production processes, technologies, architectures, standards.
  • data transmission and network technologies in industry
  • selected modelling methods of digital production processes (event-discrete processes, entity-relationship models, object-oriented modelling, ontologies)
  • Modelling languages for digital production processes (UML, SysML, AutomationML, PackML)
  • Cyber-physical production systems (self-description capability of production modules, production-as-a-service, plug-and-produce, virtual object memory, self-control of production with batch size 1
  • Industrie 4.0 reference architecture RAMI 4.0 and administration shell
  • Overview of distributed systems for the integration of industrial artificial intelligence processes (edge, cloud).

Competencies / intended learning achievements

Upon successful completion of the module, students will

be able to,

  • explain the principles of architectures and applications of IT systems in industrial production
  • understand the methods and procedures for the analysis, modelling and synthesis of digital production processes and explain and apply them to real examples
  • explain methods of digital production technology in in different industrial domains and apply them to to real examples
  • explain specific requirements for the integration of software and industrial standards in the Industry 4.0 environment and to describe and explain them

Literature

  • Gunther Reinhart, Bernd Scholz‐Reiter, Wolfgang, Wahlster, Manfred Wittenstein, Detlef Zühlke, Hrsg. Intelligente Vernetzung in der Fabrik.: Industrie 4.0 Umsetzungsbeispiele für die Praxis. Fraunhofer Verlag, 2015.
  • Jan Lunze. Automatisierungstechnik – Methoden für die Überwachung und Steuerung kontinuierlicher und ereignisdiskreter Systeme. Oldenbourg Verlag, München, 2008.

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [INF-66-51-M-6]

Course of Study Section Choice/Obligation
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective
[MV-88.?-SG#2022] M.Sc. Maschinenbau mit angewandter Informatik 2022 [2022] [Compulsory Modules] Pflichtmodule [P] Compulsory