The ontology of maintenance and repair management processes of the shipbuilding organization

Modern shipbuilding and ship repair industries face challenges associated with the increasing complexity of technical objects, increasing requitements for service quality, the need to reduce work deadlines and improve management efficiency. In the context of high competition and digital transformation of the industry, the relevance of implementing information solutions that can formalize knowledge about maintenance and repair (M&R) processes, increase the transparency of interaction between departments and support management decision-making is increasing. This paper proposes an approach to the digitalization of ship M&R management based on ontological modeling. The ontology was developed using the Protégé software platform and implemented using the OWL and RDF standards, which ensures its extensibility, formal rigor and compatibility with other information systems. The model presents key classes reflecting the structure of the subject area: vessel, equipment, maintenance and repair processes, personnel, spare parts, service intervals and frequencies. Object and data properties are used to describe the relationships between entities. The Reasoner inference tool integrated into Protégé enabled automated analysis of the ontology. As a result, dependencies between vessels types, types of maintenance, equipment involved, personnel and maintenance regulations were identified. The logical consistency of the model was also checked, potential conflicts were identified and new connections between objects were defined. This makes it possible not only to store and systematize knowledge, but also to support knowledge management systems and automatic logical analysis. The ontology takes into account regional features of fleet operation. The resulting model can be used in M&R planning systems, in digital twins of vessels and in decisions support systems.