Autor: Michael Riedl

Industry 4.0 Assessment – A Guide for SMEs

Industry 4.0 Assessment - A Guide for SMEs

Bewertungsmodell zur Festlegung und Priorisierung von Industrie 4.0-Umsetzungsmaßnahmen in KMUs
Dominik T. Matt, Erwin Rauch, Marco Unterhofer, Bozen, Michael Riedl, Riccardo Brozzi
The Fourth Industrial Revolution has changed profoundly the entrepreneurial environment. In particular, smaller companies have difficulties putting 4.0 paradigms into practice. If one considers that small and medium-sized enterprises form the backbone of the European economy, then it becomes all the more obvious which leverage effect suitable implementation concepts for SMEs can have. The following article therefore presents an evaluation model for the definition and prioritization of Industry 4.0 implementation measures, which is based on the requirements for SMEs.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 7-10
Collaborative Robotics-Machine Learning by Imitation

Collaborative Robotics-Machine Learning by Imitation

Flexible Automation for SMEs Through Intelligent and Collaborative Robotic Assistants
Andrea Giusti, Dieter Steiner, Walter Gasparetto, Sebastian Bertoli, Michael Terzer, Michael Riedl, Dominik T. Matt
The trend towards customer-specific mass production poses great challenges for the classic production methods of small and medium-sized companies. The combination of flexible robotic solutions and artificial intelligence approaches is promising to enable production efficiency and fast adaptability in modern production systems. This paper presents such a solution in the form of a realized demonstrator setup composed of a collaborative robot assistant. The robotic system independently interprets the activities of a human employee and supports the employee in his or her activities by imitation.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 43-46 | DOI 10.30844/I40M_19-3_S46-46
Industry 4.0: Knowledge Transfer and Competence Profiles

Industry 4.0: Knowledge Transfer and Competence Profiles

Knowledge Transfer and Competence Profiles for the Smart Factory
Dominik T. Matt, Michael Riedl, Erwin Rauch
In the context of this article, a methodology for an efficient transfer of knowledge from research into industrial practice regarding cyber-physical production systems is presented. The methodology serves above all to sensitize small and medium-sized (SME) enterprises to the possible potentials of the so-called Industry 4.0. The starting point for this is the need-oriented and individual specification of knowledge required for a practical knowledge transfer and the development of tailor-made competence profiles of future employees in smart SMEs
Industrie 4.0 Management | Volume 33 | 2017 | Edition 3 | Pages 11-15