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

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

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Current trends in manufacturing lead to more intelli- gent 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.
Original languageEnglish
Title of host publicationCognitive 2019
Subtitle of host publicationThe Eleventh International Conference on Advanced Cognitive Technologies and Applications
Place of PublicationVenice
Pages3 - 9
Number of pages7
ISBN (Electronic)978-1-61208-705-4
Publication statusPublished - 5 May 2019


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