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Ontology-based task allocation for heterogeneous resources in Line-less Mobile Assembly Systems
  • Aline Kluge-Wilkes
Aline Kluge-Wilkes
Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen Universi-ty

Corresponding Author:[email protected]

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Abstract

This paper contributes a conceptual CAPabILity-based resource AllocatioN Ontology (CAPILANO). The ontology is tailored as a uniform description of heterogeneous assembly resources and their (combined) capabilities, connected to a capability-based task allocation approach. The intended application of the resulting framework is the identification of suitable assembly resources in Line-less Mobile Assembly Systems (LMAS) and their allocation to assembly tasks, based on a unified and formal description. To date, ontologies in assembly have been limited to querying resources and their capabilities; here, subsequent task allocation is presented as an integral component of a tailored framework. The resulting framework consists of a model of heterogeneous resources and their capabilities in an ontology created in Protégé in OWL, SPARQL-based query-ing, and a consecutive and availability-aware task allocation in Python.