2017
DOI: 10.1007/s10845-017-1376-5
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Ontology for cloud manufacturing based Product Lifecycle Management

Abstract: The manufacturing environment has become increasingly competitive in the past few years, and product development is getting even more complex. The agility of an information system is a way to manage this complexity, and cloud technologies enable the sharing of tools and information in a new way. In particular, in the field of Product Lifecycle Management, a review of the literature demonstrates that there are technical issues that limit the efficient collaboration between the various stakeholders along the pro… Show more

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Cited by 40 publications
(20 citation statements)
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“…The adoption of cloud manufacturing can benefit the production processes in several aspects, including the ease of information exchange among multiple parties in the production process (Talhi et al 2017), sharing of manufacturing resources and smart distributed scheduling (He and Xu 2015;. From an economic aspect, cloud manufacturing also offers companies flexibility of scaling up and down their production costs because of the 'pay-as-you-go' business models (Xu 2012).…”
Section: Cloud Manufacturingmentioning
confidence: 99%
“…The adoption of cloud manufacturing can benefit the production processes in several aspects, including the ease of information exchange among multiple parties in the production process (Talhi et al 2017), sharing of manufacturing resources and smart distributed scheduling (He and Xu 2015;. From an economic aspect, cloud manufacturing also offers companies flexibility of scaling up and down their production costs because of the 'pay-as-you-go' business models (Xu 2012).…”
Section: Cloud Manufacturingmentioning
confidence: 99%
“…Thanks to all those cited potentialities, Ontologies are used in different domains, namely: the supply chain management [18 -20], the Product Lifecycle Management [20,21], the collaborative Product Development and Simultaneous engineering [22]. Actually, in the context of industrial product design phase, many works have been developed as examples:…”
Section: Formula Notationmentioning
confidence: 99%
“…Due to the powerful resource expression ability and the advantage in the aspect of semantic matching, ontology modeling technology [45] has become the mainstream method for resource modeling. According to the requirement of multi-granularity DR modeling, a kind of DR universal ontology modeling method is created, with which all kinds of resource ontology model are generated.…”
Section: Design Resource Ontology Modelingmentioning
confidence: 99%