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Production process adaptation to IoT triggered manufacturing resource failure events

Usage of raw data as an asset, from which value can be created to support business and manufacturing decision making, motivated a lot of scientists to explore the challenges on how to exploit this value. Such efforts are concentrated on the framework of “data value chain”, where approaches of architectures and applications aim at equipping enterprises with tools that gather, process and extract knowledge from raw data generated by their internal or external processes. In this context, the present paper deals with the way the production processes in a factory can be adapted to changes that are detected by the processing of raw data which are aggregated by IoT devices installed in the manufacturing environment. The proposed approach introduces a complex system that combines a network of IoT sensors and a high-level multi-agent system that contributes to the vertical integration of all the systems residing in the Enterprise/Factory.