Development of a methodology for event-based production control

Nowadays, industrial production environments are complex, volatile and driven by uncertainties. Manufacturing companies are striving for flexibility and adaptability to cope with these challenges and remain competitive. Decision-making and real-time reaction systems are promising concepts to cope with complex situations in industrial production environments. However, digitalization leads to an increasing amount of data describing the status of products and resources within an industrial production environment. In order to achieve near real-time monitoring and control of production and logistics processes, intelligent processing and analysis of the acquired data is necessary. As a result of this development, continuous data analysis plays a decisive role for analyzing extensive data streams in real-time. Patterns have to be recognized during the production process and actions have to be defined in order to realize an event-based production control. The main focus within this paper is the development of a methodology for an event-based production control. Furthermore, an exemplary implementation of the methodology will be presented by means of a prototypical implementation to optimize the exchange of material.