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Cognitive Decision Support for Industrial Product Life Cycles: A Position Paper

Authors:
Stefan Thalmann
Heimo Gursch
Josef Suschnigg
Milot Gashi
Helmut Ennsbrunner
Anna Katharina Fuchs
Tobias Schreck
Belgin Mutlu
Juergen Mangler
Gerti Kappl
Christian Huemer
Lindstaedt Stefanie

Keywords: Cognitive Decision Support, Product Life Cycle; Validation; Big Data Value Chain

Abstract:
Current trends in manufacturing lead to more intelligent products, produced in global supply chains in shorter cycles, taking more and complex requirements into account. To manage this increasing complexity, cognitive decision support systems, building on data analytic approaches and focusing on the product life cycle, stages seem a promising approach. With two high-tech companies (world market leader in their domains) from Austria, we are approaching this challenge and jointly develop cognitive decision support systems for three real world industrial use cases. Within this position paper, we introduce our understanding of cognitive decision support and we introduce three industrial use cases, focusing on the requirements for cognitive decision support. Finally, we describe our preliminary solution approach for each use case and our next steps.

Pages: 3 to 9

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-705-4

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019