Abstract
Operational Business Intelligence (OpBI) discusses a possible support of production-specific decisions by integrating and analyzing production data. The discussion of OpBI focusses thereby rather on common applicability aspects than on certain implementation strategies. This is however less conclusive for a functional reliability of OpBI in production environments and for associated efforts. Therefore, we introduce an OpBI framework to integrate and analyze data of production processes automatically. Following principles of design science research, framework evaluation refers to real-world data from a rod and wire rolling process. In conclusion, our OpBI framework improves information quality perceived by end users analyzing a steel’s rolling behavior.
Paper Type
Event
Applying Operational Business Intelligence in Production Environments
Operational Business Intelligence (OpBI) discusses a possible support of production-specific decisions by integrating and analyzing production data. The discussion of OpBI focusses thereby rather on common applicability aspects than on certain implementation strategies. This is however less conclusive for a functional reliability of OpBI in production environments and for associated efforts. Therefore, we introduce an OpBI framework to integrate and analyze data of production processes automatically. Following principles of design science research, framework evaluation refers to real-world data from a rod and wire rolling process. In conclusion, our OpBI framework improves information quality perceived by end users analyzing a steel’s rolling behavior.
Recommended Citation
Hänel, T. & Felden, C. (2016). Applying Operational Business Intelligence in Production Environments. In J. Gołuchowski, M. Pańkowska, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Complexity in Information Systems Development (ISD2016 Proceedings). Katowice, Poland: University of Economics in Katowice. ISBN: 978-83-7875-307-0. http://aisel.aisnet.org/isd2014/proceedings2016/CogScience/3.