Evolvable Production Systems differ from Reconfigurable and Holonic Manufacturing Systems by implying ontology-based process-specific modularity at fine granularity with local intelligence and a distributed control solution based on the Multi-Agent paradigm. Understanding the dynamics of such complex production systems is not feasible with traditional engineering. For creating the manufacturing systems of the future, engineers need to dare a leap in their ways of thinking. Complexity Theory and Artificial Intelligence can be a valuable source of inspiration for manufacturing engineers. This article illustrates how ideas from these scientific areas fit the problems and open questions of manufacturing. Some concepts, as Self-Organization and Emergence, need adaptation to be applicable in production systems; others simply require the right perspective. Finally, a vision of future EPS is outlined.
|Title of host publication||Proceedings of the 3rd International Workshop on Multi-Agent Robotic Systems - MARS 2007; In Conjunction with ICINCO 2007|
|Editors||P. Sapaty, J. Filipe|
|Publication status||Published - 2007|
|Event||Third International Workshop on Multi-Agent Robotic Systems - Angers, France|
Duration: 10 May 2007 → …
|Conference||Third International Workshop on Multi-Agent Robotic Systems|
|Period||10/05/07 → …|