Abstract
To meet the requirement of Product Lifecycle Management (PLM) system phased implementation and frequently modification, a PLM Class-Cluster data model based on Object-Relation data model was proposed to support system evolution. A set of meta models were defined as semantic criterion and a four layers Class-Cluster model consist of meta models, class models, object models and cluster models was build . Class models were used to describe business data and relations of enterprise. Cluster models were used to reorganize contents and structures of data objects, support different requirements of data schema at different stages of product lifecycle. Model-driven method was employed to refract modification of data models quickly to system. The data models were proved to meet the system evolution requirements through a practical application.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Zhong, H., Yan, G., Lei, Y. (2012). Evolution Supporting Class-Cluster Data Model for PLM. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28655-1_30
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DOI: https://doi.org/10.1007/978-3-642-28655-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28654-4
Online ISBN: 978-3-642-28655-1
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