Modulbeschreibung

SF-Smart Factory

Kürzel:
M_SFFACTORY
Durchführungszeitraum:
HS/19-HS/24
ECTS-Credits:
4
Lernziele:

Expertise - the participants can:

  • understand the improvement potential of a Smart Factory production system compared to a traditional production set up
  • understand the importance and connection of data throughout the company to improve production process applying digital technologies
  • use certain digital technologies such as simulation, data analysis and machine learning techniques to analyze, evaluate and improve production processes

Methodological Skills - the participants can:

  • identify relevant use case for a Smart Factory
  • apply Smart Factory technologies to address the relevant use case
  • implement a Smart Factory and know how to drive the change process

Social Skills - the participants can:

  • Realistically plan work-sharing tasks in complex case studies in a team and solve conflicts in individual deviations in a team
Verantwortliche Person:
Prof. Dr. Hänggi Roman
Standort (angeboten):
Rapperswil-Jona
Zusätzlich vorausgesetzte Kenntnisse:

Fundamental knowledge of production management
Fundamental knowledge of probability theory
Solid command of the English language, as the lectures are held in English

Skriptablage:
Modultyp:
Wahl-Modul für Wirtschaftsingenieurwesen STD_18(Empfohlenes Semester: 5)
Wahl-Modul für Wirtschaftsingenieurwesen U_18(Empfohlenes Semester: 5)
Wahlpflicht-Modul für Wirtschaftsingenieurwesen STD_21(Empfohlenes Semester: 5)
Pflichtmodul für Smart Factories STD_21 (VR)
Wahlpflicht-Modul für Wirtschaftsingenieurwesen STD_24(Empfohlenes Semester: 5)
Pflichtmodul für Smart Factories STD_24 (VR)

Kurse in diesem Modul