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Towards federated, semantics-based supply chain analytics

: Petersen, N.; Lange, C.; Auer, S.; Frommhold, M.; Tramp, S.


Abramowicz, W.:
Business information systems. 19th International Conference, BIS 2016 : Leipzig, Germany, July, 6-8, 2016. Proceedings
Cham: Springer, 2016 (Lecture Notes in Business Information Processing 255)
ISBN: 978-3-319-39426-8 (electronic)
ISBN: 978-3-319-39425-1 (print)
International Conference on Business Information Systems (BIS) <19, 2016, Leipzig>
Fraunhofer IAIS ()

Supply Chain Management aims at optimizing the flow of goods and services from the producer to the consumer. Closely interconnected enterprises that align their production, logistics and procurement with one another thus enjoy a competitive advantage in the market. To achieve a close alignment, an instant, robust and efficient information flow along the supply chain between and within enterprises is required. However, less efficient human communication is often used instead of automatic systems because of the great diversity of enterprise systems and models. This paper describes an approach and its implementation SCM Intelligence App, which enables the configuration of individual supply chains together with the execution of industry accepted performance metrics.