Abstract
This paper demonstrates the added value of using knowledge modeling for the structure of manufacturing indicators. There is a methodology describing the generation of relevant indicator values, based on knowledge modeling. The model has three different layers, starting from a generic one down to an instance layer. This model can be used for reasoning purposes, where the users can identify pertinent information, regarding the Production Performance Indicators-PPI's attributes, relations to resources and their connection to other indicators. Furthermore, it can also be used for the generation of queries, for the handling of data streams from the shop floor and their translation into useful information for the higher levels. Both types of functionalities are demonstrated through a specific automotive use case, where energy related data streams, generated from machines, are handled by queries created through this model.
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