Design and Implementation of an InfoStore for Key Performance Indicators
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The efficiency of manufacturing systems becomes more and more significant in today’s factories due to the increasingly competitive market. As the rise of energy price, energy saving also becomes vital. The first step to increase efficiency and decrease energy use is to achieve real-time monitoring of the systems at the shop floor. Then the optimization of efficiency and energy use becomes possible. The use of modern information technologies is essential considering the large amount of information generated by the low level facilities. This thesis work presents the selection of a set of Key Performance Indicators (KPI) to improve the awareness of different manufacturing assets including those related to energy and efficiency. The implementation relies on Service Oriented Architecture deployed by web services and the further processing of the generated events by the application of an Event Processing Language based on rules. The processed data are displayed on web as graphics and updated in real time. On the other hand, in order to fully exploit the potential of optimization algorithms for efficiency and energy savings in factory automation settings, it is needed to bring together engineers that have knowledge of signal processing algorithms with shop floor engineers that are experienced with real manufacturing processes and factory automation settings. This thesis work exposes the captured raw data and KPIs as a web service so that third party applications can acquire the data via URLs for their own use. The InfoStore is currently populated with data regarding equipment IPC-2541 state events, process/cell/production energy consumption, process/pallet production time, etc regarding a multi robot production line located at the premises of the Factory Automation Systems and Technology laboratory.