Inhalt

[ 445VPREDTPK23 ] KV Digital technologies in Production

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year (*)Maschinenbau Thomas Pumhössel 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechanical Engineering 2025W
Learning Outcomes
Competences
Students are able to make manufacturing and production processes more flexible and therefore more efficient through the use of digital technologies.
Skills Knowledge
Specifically, they can

  • understand, analyze and plan interlinked manufacturing systems for exemplary tasks (k3, k4)
  • assess and evaluate the characteristics of the use of digital technologies to optimize capacity and scheduling of production systems (k3, k4)
  • correctly use digital technologies such as AI, digital twins, cloud-based approaches (k3, k4)
  • understand and correctly use systems for recording operating data in real time (k3, k4)
  • Interlinked manufacturing systems, modeling
  • Use of digital technologies such as AI, digital twins, cloud-based approaches, big data
  • Intelligent capacity and scheduling planning in production systems
  • Acquisition of machine and operating data for optimization in real time
Criteria for evaluation
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
481WVERDTPK22: KV Digital technologies in Production (2022W-2023S)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence