The Storage of Parametric Data in Product Lifecycle Management Systems

Product development companies are continually seeking methods to increase efficiency while maintaining quality. Distributed development is also more important than ever before as industries globalize. These forces have driven firms to adopt formal data management practices that allow groups and individuals to work from singular, centralized data source that are secure, reliable, and support collaboration. This thesis proposes a methodology to leverage globalized infrastructures for the efficient storage of product variations. The methodology is proved through a working prototype using the market leader in Product Lifecycle Management (PLM) systems, Teamcenter Engineering. First, paradigms are set forth for the storage of various types of engineering documents in PLM systems in parametric formats. Then the use of these paradigms is exemplified by various programs retrieving and storing document variations in the form of PLM metadata. Finally, the results show that this methodology produces drastic increases in system performance as well as the enabling of PLM-compatible automation and optimization. The impacts of these findings have significant implications for industry and has generated interest from several global engineering firms and academic journals.

Name thesis:degree_name

MS

Grantor dc:publisher

Brigham Young University - Provo

Author dc:creator

• Lund, Jonathan Gary

• PLM
• PDM
• parametrics
• databases
• product lifecycle management
• product data management
• Mechanical Engineering

Language dc:language

English

Repository record dc:identifier

https://scholarsarchive.byu.edu/etd/402

OAI identifier oai:identifier

oai:scholarsarchive.byu.edu:etd-1401