DocumentCode :
2368210
Title :
New models of agile manufacturing assisted by semantic
Author :
Maciá-Pérez, Francisco ; Gilart-Iglesias, Virgilio ; Ferrándiz-Colmeiro, Antonio ; Berná-Martínez, José Vicente ; Gea-Martinez, Jorge
Author_Institution :
Departmento de Tecnol. Inf. y Comput., Univ. de Alicante, Alicante, Spain
fYear :
2009
fDate :
1-4 Sept. 2009
Firstpage :
336
Lastpage :
343
Abstract :
This paper proposes a process management system that enables new dynamic manufacturing models to be implemented. This system facilitates the automation of process modelling, thus reducing the workload for process engineers. To this end, it focuses on the incorporation of knowledge in the definition of the processes and services involved. The document presents a general scenario in which industrial machinery is offered as services (IMaaS), integrated under a service-oriented architecture (SOA); this is followed by a definition of an ontology that enables the incorpoation of knowledge into the proposed scenario; finally the implementation of a prototype, along with a test scenario, is presented, enabling the viability of the proposal to be demonstrated.
Keywords :
Web services; agile manufacturing; machinery; machinery production industries; manufacturing processes; ontologies (artificial intelligence); BPM; IMaaS; SOA; agile manufacturing model; business process management; dynamic manufacturing model; industrial machinery; manufacturing process; ontology; process management system; process modelling automation; prototype implementation; service-oriented architecture; Agile manufacturing; Machinery; Manufacturing automation; Manufacturing industries; Manufacturing processes; Ontologies; Prototypes; Pulp manufacturing; Service oriented architecture; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enterprise Distributed Object Computing Conference Workshops, 2009. EDOCW 2009. 13th
Conference_Location :
Auckland
Print_ISBN :
978-1-4244-5563-8
Type :
conf
DOI :
10.1109/EDOCW.2009.5331976
Filename :
5331976
Link To Document :
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