Distributed Control for Robust Autonomous Logistic Processes
Jan D. Gehrke, Hagen Langer, Otthein Herzog · 2008
Logistic processes are inherently complex and dynamic. This motivates the application of robust distributed methods, such as multiagent systems, for logistic planning and control. In the present paper we outline a knowledge management oriented approach for multiagent-based autonomous logistic processes. Recent results from simulations give rise to the assumption that efficient usage of knowledge and distributed control can improve the robustness and service quality in logistic processes to a significant degree. We discuss the role of ontologies as a formal knowledge representation component, present a framework based on agent knowledge management roles, and demonstrate how knowledge management in a distributed system can contribute to risk reduction by situation awareness at different levels of logistic processes.