We present the backbone of a knowledge graph to support the next generation of functional resonance analyses in the safety area by means of automatic reasoning services. The proposed knowledge graph is expected to incorporate existing industrial ontologies, according to the needs of safety analysts, and to handle the diversity of upper ontology models that may have been adopted for the development of enterprise-specific application ontologies. We briefly describe some possible usages of this knowledge graph, i.e. systematic exploration of safety-critical processes, analysis of misalignments of work-as-done from work-as-imagined process representations, creative design of work-as-done, and inter-company alignment of safety-critical processes to safety goals. Finally, we discuss the major implications of our proposal for safety analysts and safety practitioners.

A knowledge graph to digitalise functional resonance analyses in the safety area / De Nicola, A.; Villani, M. L.; Costantino, F.; Di Gravio, G.; Falegnami, A.; Patriarca, R.. - (2022), pp. 259-269. - CONTRIBUTIONS TO MANAGEMENT SCIENCE. [10.1007/978-3-030-85954-1_15].

A knowledge graph to digitalise functional resonance analyses in the safety area

Costantino F.;Di Gravio G.;Falegnami A.;Patriarca R.
2022

Abstract

We present the backbone of a knowledge graph to support the next generation of functional resonance analyses in the safety area by means of automatic reasoning services. The proposed knowledge graph is expected to incorporate existing industrial ontologies, according to the needs of safety analysts, and to handle the diversity of upper ontology models that may have been adopted for the development of enterprise-specific application ontologies. We briefly describe some possible usages of this knowledge graph, i.e. systematic exploration of safety-critical processes, analysis of misalignments of work-as-done from work-as-imagined process representations, creative design of work-as-done, and inter-company alignment of safety-critical processes to safety goals. Finally, we discuss the major implications of our proposal for safety analysts and safety practitioners.
2022
Resilience in a Digital Age
978-3-030-85953-4
978-3-030-85954-1
functional resonance analysis; industry 4.0; knowledge graph; resilience engineering; safety management
02 Pubblicazione su volume::02a Capitolo o Articolo
A knowledge graph to digitalise functional resonance analyses in the safety area / De Nicola, A.; Villani, M. L.; Costantino, F.; Di Gravio, G.; Falegnami, A.; Patriarca, R.. - (2022), pp. 259-269. - CONTRIBUTIONS TO MANAGEMENT SCIENCE. [10.1007/978-3-030-85954-1_15].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1628421
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