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


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

in: “Proceedings of the Eleventh International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2019)", issued by: Marta Franova, Charlotte Sennersten, Jayfus T. Doswell (eds); IARIA, Venice, Italy, 2019, ISBN: 978-1-61208-705-4, 3 - 9
Gerti Kappel
Gerti Kappel Mag.a techn.
Christian Huemer
Christian Huemer
Ao.Univ.Prof. Mag.rer.soc.oec. Dr.rer.soc.oec.