Big Data in manufacturing systems engineering – close up on a machine tool

Author:

Bauer Christian1,Siddiqui Zaigham-Faraz1,Beuttler Manuel1,Bauer Klaus1

Affiliation:

1. TRUMPF Werkzeugmaschinen GmbH + Co. KG, Johann-Maus-Straße 2, 71254 Ditzingen, Germany

Abstract

Abstract With the increasing connectivity of devices, the amount of data that is recorded and ready for analysis is growing correspondingly. This is also the case for shop floors in flexible sheet metal handling and production. With the growing need for flexibility in production, the availability of machine tools is imminent. This paper shows different approaches that a classical manufacturing systems company such as TRUMPF takes in applying data mining techniques to address the new challenges which come with the Internet of things. In addition to classical methods, a new approach is introduced that does not need any alteration of the machine or its interfaces.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

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