Enabling Model-Based Engineering in a CAx-Neutral PLM System: A case study for the implementation of semantic networks into Bluestar PLM
Translated title
Enabling Model-Based Engineering in a CAx-Neutral PLM System
Author
Term
4. term
Education
Publication year
2025
Submitted on
2025-08-01
Pages
65
Abstract
This study examines the application of semantic networks within Bluestar PLM to support high-variance, low-volume engineering manufacturers, particularly through a case study with ETO LLC. These companies often face challenges automating data validation and transformation due to unique internal ogic and the lack of built-in modeling capabilities in Bluestar PLM. The research explores digital modeling technologies, including model-based systems engineering (MBSE), model-based enterprise (MBE), product-process-resource (PPR), and Digital Twins, identifying semantic networks as a foundational approach to encapsulate reusable logic and reduce manual work. A new Bluestar entity, the data model, is introduced to represent these semantic networks, and an iterative development process validates their feasibility. While some complexity in feature adoption may conflict with Bluestar PLM’s self-implementation strat- egy, the approach promises significant reductions in data validation effort and improved integration with Microsoft Dynamics. The study concludes by outlining necessary extensions for broader customer adoption, including support for diverse CAx toolchains and potential alignment with MBSE toolsets.
Keywords
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