Ontology-based task allocation for heterogeneous resources in Line-less Mobile Assembly Systems

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.

Authors 1

1. Aline Kluge‐Wilkes corresponding Aachen Laboratory for Machine Tools and Production Engineering WZL

   RWTH Aachen University

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen Universi-ty

   Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen Univer-sity, Campus-Boulevard 30, 52074 Aachen, Germany