Inhalt

[ 055AUMASMTK23 ] KS Smart Maintenance, TPM, Data Analytics & AI

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS (*)W_AOM1 - (*)Weiterbildung AOM 1. Jahr Business Administration Univ.-Prof. Dr. Robert Breitenecker 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Non-Degree Master's programme Executive MBA Management & Leadership 2024W
Objectives (*)After positive completion of the module, students will be able to …

… understanding basic terminology and concepts (e.g. TPM) of maintenance management.

… selecting and implementing appropriate maintenance strategies.

… applying tools and KPIs for maintenance planning, monitoring and controlling.

… understanding the impact of maintenance on productivity.

… understanding the possibilities and limitations of using multi structured data in maintenance.

… applying methods of data analytics and AI in maintenance.

Subject (*)
Criteria for evaluation
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to priority