Presenting Author

Tom Hänel

Paper Type

Completed Research Paper

Abstract

Industrial organizations design manufacturing processes to compete in dynamic environments so that their products incorporate a maximum value for the customers. This enforces the analysis and control of the corresponding product feature creation and implicates a coincidence of logistical and engineering processes. However, the existing information systems in manufacturing do not provide adequate decision making capabilities for a determination of a specific product feature’s value. The paper explores therefore certain advantages of Operational Business Intelligence (OpBI) in this context to give practical insights by a case study oriented approach. The results demonstrate requirements for a decision support in order to analyze and control manufacturing processes of three different industrial organizations. The insights confirm the benefits and advantagenous of OpBI in manufacturing.

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Operational Business Intelligence Meets Manufacturing

Industrial organizations design manufacturing processes to compete in dynamic environments so that their products incorporate a maximum value for the customers. This enforces the analysis and control of the corresponding product feature creation and implicates a coincidence of logistical and engineering processes. However, the existing information systems in manufacturing do not provide adequate decision making capabilities for a determination of a specific product feature’s value. The paper explores therefore certain advantages of Operational Business Intelligence (OpBI) in this context to give practical insights by a case study oriented approach. The results demonstrate requirements for a decision support in order to analyze and control manufacturing processes of three different industrial organizations. The insights confirm the benefits and advantagenous of OpBI in manufacturing.