Ontologies for flexible production systems

Abstract

This paper presents a design of ontology aimed at the optimization of production ramp-up of higly complex and customized products, developed within the European project ARUM. The ARUM solution consists of a large number of software components including schedulers, planners, legacy data transformation services and end-user client interfaces, which are integrated via the Enterprice Service Bus. The semantic interoperability is achieved by providing the common knowledge-based model defined as OWL ontology, which describes processes workflows and events in discrete production environment. The paper presents three main blocks of the ARUM ontology model and shows its usage by selected software componentstaking part in the production scheduling task.