Event-Driven Production Control based on Sensor Events

Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

“…One of the experts whom we interviewed summarized the situation of the representation of the current situation as follows: "Today's systems remained on MS DOS level, they spit out a few numbers and then you have to know exactly what those numbers mean. This has to be much more intuitive" (expert H) With respect to the detection of deviations, the initial problems are similar, since the same information are required and must be merged [1,34]. Furthermore, real-time evaluation and processing of the information are necessary in order to identify the deviations promptly [32,34].…”

“…This has to be much more intuitive" (expert H) With respect to the detection of deviations, the initial problems are similar, since the same information are required and must be merged [1,34]. Furthermore, real-time evaluation and processing of the information are necessary in order to identify the deviations promptly [32,34]. Additionally, it is difficult to precisely localize the problem situations and visualize them appropriately [1].…”

“…In order to be able to create reactive schedules based on the identified events as well, the simulation further requires selecting relevant events. However, since events usually are the starting point of a simulation in the case of reactive rescheduling, it makes sense to only deselect events that are not relevant for a simulation (FR rtd 4) [34,41]. It is also necessary to be able to select which measures the system simulates as possible reactions to the events (FR rtd 5).…”