Different topics in maintenance 4.0 focusing on human-centered and data-driven approaches are supervised by PIM team. etencies of the group.

SS2023

• Explainability of transformer models
  Long Title: Explainability of transformer models for event extraction applications in industrial maintenance
• Large lange models for chatbos
  Long Title: Large language model based chatbots in industrial maintenance applications

WS 2022

• Assistance Systems in Maintenance
  Long Title: An Analysis of the Utilization ofAssistance Systems in Maintenance Strategies
• Opportunistic maintenance strategies
  Long Title: Optimization of opportunistic maintenance strategies using von birtual reality technologies

SS 2022

• Sustainable Digital Twin
  Long Title:  The use of Digital Twin Morphology towards a more Sustainable Maintenance 
• Artificial Intelligence in Ressilient Supply Chains
  Long Title:  Development of an Artificial Intelligence Road Map on the Resilience of Supply Chains at the Example of Industrial Maintenance
• Hyperautomation for Learning Optimization
  Long Title: Design and Implementation of an Integrated Data Pipeline for Combining Process- and Text-Mining towards Optimizing Human Learning in Business Processes

WS 2021

• Predictive Maintenance Morhology
  Long Title: A Classification of Predictive Maintenance Applications in Industry 4.0

SS2021

• Predictive Maintenance Morphology
  Full Title: A Classification of Predictive Maintenance Applications in Industry 4.0

WS2020

• Analysis of Job Profiles for Competency Evaluation
  Full Title: Textual Analysis of Job Descriptions to Asses the Competency Evolution within the Industrial Maintenance
• Maintenance Text Data for Cost Factors
  Full Title: Design and Development of a Prototype for Transforming Maintenance Text Data to Cost Factors

SS2020

• Process Analysis with Process Mining
  Full Title: Analysing Process Mining Methods and Related Applications Supported by Machine Learning
• Gamification in Maintenance
  Full Title: Design of a Procedural Model for Extracting and Specifying Requirements of Gamification Tools and Features in Industrial Maintenance

WS 2019

• Artificial Intelligence and Enterprise Resource Planning (ERP) in cooperation with BRP Rotax
  Full Title: Possible fields of application of AI methods and technologies in the field of supplier quality at an international engine manufacturer
• Blockchain for Smart Manufacturing
  Full Title: Enterprises Blockchain for Smart Manufacturing Enterprises
• Maintenance Knowledge Management in Metal Industries in cooperation with Primetals
  Full Title: Maintenance Knowledge Management in the metals industry
• Knowledge Discovery from Text in Industry 4.0
  Full Title: Knowledge Discovery from Textual Data in the Context of Smart Factories for Industry 4.0
• Learning Scorecard Model for Smart Factories
  Full Title: Design of a Learning Scorecard Model for Assessing Human and Machine Productivity in Cyber Physical Social Production Systems
• Root Cause Analysis in Predictive Maintenance in cooperation with Infineon
  Full Title: The way to a root cause prediction with an existing predictive maintenance model and its impact on maintenance and production KPI´s

SS 2018

• Extracting Knowledge from Maintenance Reports
  Full Title: A Procedural Model for Extracting Knowledge from Industrial Maintenance Reports
• Bayesian Networks in Maintenance
  Full Title: Dynamic Bayesian Network for Predictive Maintenance
• Non-stationary Bayesian Networks for Predictive Maintenance
  Full Title: Non-stationary Dynamic Bayesian Networks for Predictive Maintenance: Theoretical Foundation and Application Scenarios