An ontology modeling and application for an assembly line of manufacturing system

Abstract

The increasing new product variants force the manufacturing enterprise to take a short time in adjusting the automatic assembly line rapidly, but it seems a challenging task. Realizing integration of information technology and manufacturing technology is the very essence of new manufacturing schema. This paper introduces an ontology-based modeling and application method to test the feasibility of manufacturing system. This work uses the SPARQL query and update technology to reflect the accurate entities' state and obtain device information. The predefined rules are used to build the corresponding rule repository according to the practical product process and knowledge base. A reasoning engine is utilized to infer facts about the assembling environment from the formalized knowledge model and decide whether the current environment can support the given assembling requirements. The result shows the ontology technology is useful for the assembly line of manufacturing system.