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PUBLICATIONS

Flat versus Hierarchical Information Models in PLM Standardization Frameworks

Published

Author(s)

Sylvere Krima, Joshua Lubell

Abstract

Smart manufacturing requires digital product data to be shared and exchanged among numerous engineering applications and information systems. But no single product data standard can satisfy every integration scenario. Customizable standardization frameworks for Product Lifecycle Management (PLM) attempt to address this problem by allowing users to add new information structures to an existing data model in a controlled manner. A PLM information model may be either flat or hierarchical. We use an approach based on ISO 10303-239 as an exemplar for customizing flat models and an approach based on Open Application Group Integration Specification (OAGIS) as an exemplar for customizing hierarchical models. We evaluate the flat versus hierarchical approaches and make two observations. First, the type of model strongly influences how well the framework meets each evaluation criterion. Second, the best choice is use-case dependent.
Citation
Product Lifecycle Management for Digital Transformation of Industries: 13th IFIP WG 5.1 International Conference, PLM 2016, Columbia, SC, USA, July 11-13, 2016, Revised Selected Papers
Publisher Info
Springer International Publishing, Cham,
Pub Type
Book Chapters

Download Paper

https://doi.org/10.1007/978-3-319-54660-5_12
Local Download

Keywords

Open Application Group Integration Specification, Product Life Cycle Support, Reference Data Library, Core Components, information modeling
Manufacturing systems design and analysis and Interoperability in manufacturing

Citation

Krima, S. and Lubell, J. (2016), Flat versus Hierarchical Information Models in PLM Standardization Frameworks, Product Lifecycle Management for Digital Transformation of Industries: 13th IFIP WG 5.1 International Conference, PLM 2016, Columbia, SC, USA, July 11-13, 2016, Revised Selected Papers, Springer International Publishing, Cham, , [online], https://doi.org/10.1007/978-3-319-54660-5_12, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920883 (Accessed April 19, 2024)

Created July 10, 2016, Updated April 12, 2023