Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag):

T. Nemeth, F. Ansari, W. Sihn, B. Haslhofer, A. Schindler:
"PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning";
Vortrag: 51st CIRP Conference on Manufacturing Systems, Stockholm; 16.05.2018 - 18.05.2018.

Kurzfassung englisch:
In today´s business environment, the trend towards more product variety and customization is unbroken. Due to this development, the need of
agile and reconfigurable production systems emerged to cope with various products and product families. To design and optimize production
systems as well as to choose the optimal product matches, product analysis methods are needed. Indeed, most of the known methods aim to
analyze a product or one product family on the physical level. Different product families, however, may differ largely in terms of the number and
nature of components. This fact impedes an efficient comparison and choice of appropriate product family combinations for the production
system. A new methodology is proposed

a nail-clipper is used to explain the proposed methodology. An industrial case study on tw

Elektronische Version der Publikation:

Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.