Using ontologies to capture and structure knowledge about disruptions in manufacturing systems: An immune driven approach

Artificial immune systems have recently been identified as a promising approach to assist decision makers in managing occurrences of unexpected disruptions in manufacturing systems. However, the design of such systems requires capturing and structuring knowledge related to disruptions. Such knowledge consists of manufacturing system specificities, control principles, disruption features, etc. Based on biological immune concepts, we design a generic ontology framework to capture this knowledge. This framework can be used as an initial basis to incorporate more specific disruption knowledge models in specific domain applications. An ontology implementation is proposed using the OWL language and Protégé ontology editor.