作者: Jakob Zietsch , Lennart Büth , Max Juraschek , Nils Weinert , Sebastian Thiede
DOI: 10.1016/J.PROCIR.2019.03.259
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摘要: Abstract The application of the edge computing paradigm in manufacturing unlocks novel data-driven improvements factories while securing data ownership, reducing transmission effort and storage costs. However, diversity complexity systems hamper identification exploitation full potential processing near machine level. Selection development applications require process knowledge insight into available data. This paper proposes a methodology to systematically assist discovery solutions manufacturing, specifically integrating advantages that shift towards provides. To increase usability, it is implemented framework, custom model merging layer ICT developed, fitting user interface designed selected, all an augmented reality application. A case study conducted first experiences are discussed evaluated.