2005
DOI: 10.1007/s10696-006-9030-0
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Equipment ontology for modular reconfigurable assembly systems

Abstract: Evolvable and Reconfigurable Assembly Systems (RAS) enable enterprises to rapidly respond to changes in today's increasingly volatile and dynamic global markets. One of the key success factors for the effective use of RAS is methods and tools that can rapidly configure and reconfigure assembly systems driven by changing requirements. The focus of this paper is the development of a suitable equipment model to support the effective design of reconfigurable assembly systems. The work has been motivated by the nee… Show more

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Cited by 58 publications
(21 citation statements)
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“…Lohse et al (2006) proposed ontology to support selection of assembly resources and to support reconfigurablility of assembly system. Lanz et al (2008) proposed ontology to capture design and process related assembly knowledge based on assembly feature concept.…”
Section: Ontology Developmentmentioning
confidence: 99%
“…Lohse et al (2006) proposed ontology to support selection of assembly resources and to support reconfigurablility of assembly system. Lanz et al (2008) proposed ontology to capture design and process related assembly knowledge based on assembly feature concept.…”
Section: Ontology Developmentmentioning
confidence: 99%
“…The most complex model is used Niels Lohse, Christian SchajGer, Svetan Ratchev for the assembly equipment. It is modelled as virtual components with a function-behaviour-structure representation (Lohse et al, 2005b).…”
Section: Ontology For the Design Of Modular Assembly System (Ontomas)mentioning
confidence: 99%
“…Concepts such as product, resource, process, factory, performance indicators, and their relationships constitute the core elements of the ontology. An equipment ontology, aiming to facilitate the effective design of reconfigurable assembly systems, was proposed in [17]. The specific ontology emphasized on the functional capabilities of the equipment that could be selected and integrated effectively and covered five main knowledge domains, concerning product, process, equipment.…”
Section: Introductionmentioning
confidence: 99%