Kurt Matyas is a University Professor of Engineering Management at the Institute of Management Sciences (Research Area Production and Maintenance Management) at TU Wien (Vienna University of Technology), where he heads the research group for Logistics and Quality Management. In addition to his teaching and research activities at TU Wien, Prof. Matyas leads numerous applied research projects with industry. He also served as Vice Rector for Academic Affairs at TU Wien from 2015 to 2023.



Maintenance logistics – from fundamentals to Industrial Data Science, AI, and XR



Modern production is highly complex, automated, and subject to constant cost pressure. In this environment, maintenance becomes a strategic key discipline as an integral part of the value chain – not only to ensure availability, but also as a driver of productivity, quality, and sustainability.

This book provides both practical guidance and a solid academic foundation on how maintenance can be made future-proof through the application of logistics methods and new technologies. It also addresses current developments such as Industrial Data Science, Artificial Intelligence (AI), and Extended Reality (XR).



The book offers:

- A comprehensive overview of costs, benefits, KPIs, and controlling in maintenance

- A well-founded presentation of classical and modern maintenance strategies

- Approaches to Lean Maintenance and Total Productive Management (TPM)

- Procedures for the acceptance and qualification of production equipment

- Forward-looking perspectives on the use of digital technologies in maintenance



The standard reference work on maintenance for practitioners, researchers, and students – up to date, practice-oriented, and at the forefront of cutting-edge technologies.



Describes methods for improving productivity and quality from the perspective of logistics and maintenance

The aim is to optimise production processes, ensure on-time delivery and reduce resource consumptio

Topics include: maintenance strategies, digitalisation, resource consumption, acceptance and qualification of production facilities, key performance indicators and controlling

With numerous examples and checklists

NEW: Industrial Data Science, Artificial Intelligence (AI) and Extended Reality (XR)