Cloud manufacturing analysis based on ontology mapping and multi agent systems

Research output: Contribution to journalConference articlepeer-review


Colleges, School and Institutes


Manufacturing through the use of cloud computing has been further extended using cloud manufacturing technology. According to the literature, the benefits of this approach include transparency, cost-efficiency, sharing of resources and the scalability of production. A multi-agent system-informed ontology used in manufacturing environments facilitates knowledge storage, inference and retrieval especially for the case of distributed resources. Based on service-oriented thinking, a cloud manufacturing OWL-S ontology model is proposed. Ontology mapping and an inference engine will be used to complete service request, publishing and binding processes. A new cloud-oriented manufacturing service OWL-S ontology would provide an extension to the Web framework, which introduces a semantic description of manufacturing services. This is for the cloud to build upon theoretical foundations and comply with standards. Manufacturing services are built in with a cloud-based negotiation mechanism using agent division, cooperation, competition and negotiation to achieve dynamic cloud manufacturing services' aggregation and running. ANALYSIS is a complex, non-linear, large cloud dynamic system for manufacturing. It is a cloud-based agent model represented in IDEF0 view, and functions on the basis of analysis of the mode of operation. Cloud services are adaptable to clients' needs, and these may include various stages of a product lifestyle, including product design, manufacturing, testing and management.


Original languageEnglish
Article number6974218
Pages (from-to)2019-2024
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Issue numberJanuary
Publication statusPublished - 2014
Event2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States
Duration: 5 Oct 20148 Oct 2014


  • Agents, Multi Agent Systems (MAS), Ontology, Web Services