Including human tasks as semantic resources in manufacturing ontology models

Abstract

Human operators play an important role especially in high added value manufacturing. The use of knowledge representation for decision making at runtime becomes more important. Modern automatic control systems should be capable to seamlessly include and assist operators. This paper describes how to represent information on operator's skills and include it into service-oriented orchestration approach for a production line. This approach allows operator to act not as a passive element, but as active asset for the orchestration engine to consider in production plans.