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Line production has several advantages: Less inventories, shorter lead times and increased transparency. But not every production is suitable for that. In the area of mechanical production for example, job-shop manufacturing is still established practice. But that does not mean that it is impossible to increase efficiency in that areas. Condition for this is a clear understanding of production. Manufacturing Intelligence is a mean to do so. © GITO Verlag. Source


Kuhlmann F.,Neofonie GmbH | Hannemann J.,German National Library of Science and Technology | Traub M.,German National Library of Science and Technology | Bohme C.,German National Library of Science and Technology | And 12 more authors.
Cognitive Technologies | Year: 2014

The THESEUS research program assembled key companies with market power from all types of sectors to jointly develop the innovative products that will enable the knowledge society. There have been carried out six use cases to demonstrate applications based on the developements of the THESEUS Core Technology Cluster. In this article, we will give a short overview of selected results of each use case. © Springer International Publishing Switzerland 2014. Source


Farber I.,RWTH Aachen | Fries S.,RWTH Aachen | Marczinski G.,CIM Aachen GmbH | Seidl T.,RWTH Aachen | Steinmann N.-P.,CIM Aachen GmbH
Cognitive Technologies | Year: 2014

The "Machining Intelligence Network" (MachInNet) project tackles the challenges to "unearthing" manufacturing knowledge from NC codes (numerical control codes), tool layouts and other manufacturing documents, and to making it accessible for daily use, e.g., for feature-based NC planning. A new approach using data mining algorithms and semantic search technologies makes it possible to reverse engineer data from different sources and make it available for explicit use with the help of a semantic, Internet-based knowledge network. The business rationale of MachInNet is to help SMEs (small and medium-sized enterprises) to manage a large variety of technologies, to avoid redundant engineering efforts, and to accelerate industrial engineering of mechanical parts. © Springer International Publishing Switzerland 2014. Source


The technologic knowledge accumulated in manufacturing companies is enormous. But many companies simply do not know what they know. Especially in smaller job shops this knowledge is "buried" in NC-Codes, tool layouts and other manufacturing documents. The challenge to "unearth" this knowledge and to make it accessible for daily use was solved as part of the THESEUS research program. As a result, data for explicit use in PDM-Systems and for feature-based NC-planning may be reverse engineered from different sources. Source

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