|Bibliography||Sungur, C. Timurhan; Breitenbücher, Uwe; Leymann, Frank; Wieland, Matthias: Context-sensitive Adaptive Production Processes. |
In: Proceedings of the 48th CIRP Conference on Manufacturing Systems.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
Procedia CIRP; 41, pp. 147-152, english.
Elsevier, February 19, 2016.
Article in Proceedings (Conference Paper).
|CR-Schema||H.4.1 (Office Automation)|
H.5.3 (Group and Organization Interfaces)
|Keywords||Process; Automation; Optimization; Adaptation|
To stay competitive, manufacturing companies need to adapt their processes in a regular basis to the most recent conditions in their corresponding domains. These adaptations are typically the result of turbulences, such as changes in human resources, new technological advancements, or economic crises. Therefore, to increase the efficiency of production processes, (i) automation, (ii) optimization, and (iii) dynamic adaptation became the most important requirements in this field. In this work, we propose a novel process modelling and execution approach for creating self-organizing processes: Production processes are extended by context-sensitive execution steps, for which sub-processes are selected, elected, optimized, and finally executed on runtime. During the election step, the most desired solution is chosen and optimized based on selection and optimization strategies of the respective processes. Moreover, we present a system architecture for modelling and executing these context-sensitive production processes.
|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems|
University of Stuttgart, Institute of Architecture of Application Systems
|Entry date||June 17, 2016|