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Article

The Hidden Gap in Model-Based Product Definition – and How to Fill It

The Hidden Gap in Model-Based Product Definition – and How to Fill It

The Hidden Gap in Model-Based Product Definition – and How to Fill It

Exiger

Exiger argues that many model-based engineering initiatives remain incomplete because critical product requirements still live outside 3D CAD models in PDFs, specifications, standards, and other static documents. Materials, coatings, test methods, regulatory requirements, supplier constraints, and other data therefore require manual interpretation, creating errors, delays, and supply chain risks. A complete Model-Based Product Definition (MBPD) combines geometric models with structured, machine-readable requirements. Exiger’s SWISS platform uses engineering ontologies and AI to convert legacy documents into connected requirement data, helping organizations identify outdated standards, regulated materials, long lead times, and supplier risks while enabling greater automation across engineer

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