MBDVidia and other MBD tool software safeguard the model-driven digital thread in paperless factories!

In a car parts factory late at night, worker Li Ming stands in front of a CNC machine without any paper drawings. He lightly touches the screen to bring up a 3D model, with dimensions, tolerances, and process requirements clearly visible. When the design department modifies a parameter, the change is instantly synchronized to his terminal, eliminating the need to wait for updated drawings and manual distribution.

This is not a sci-fi scenario, but the daily reality of a paperless factory built on Model-Based Definition ( MBD ) technology. In traditional manufacturing workshops, the time lost due to paper documents accounts for more than 15% this, and data transmission errors have caused 80% quality issues. MBD The technology embeds product manufacturing information ( PMI ) directly into the 3D model, completely replacing paper drawings and process cards, achieving seamless data flow from design to production.

01  A technological breakthrough, MBDVidia and NX integration reshapes the digital thread.

2025 In the year 6 month, MBD the technology field witnessed a milestone advancement. Capvidia announced that its flagship solution MBDVidia has achieved full integration with Siemens NX software, injecting new momentum into the manufacturing digital thread. This breakthrough makes NX the first mainstream CAD platform to natively support the QIF (Quality Information Framework) standard. CAD As an open standard for end-to-end digital metrology and quality workflows, it solves the long-standing data interoperability challenges in manufacturing.

" NX and MBDVidia Integration is the first step toward fully realizing end-to-end automation and traceability from design to manufacturing." Capvidia CEO Tomasz Luniewski pointed out. This integration creates a true bidirectional workflow: model data exported from CAD can be validated, refined, and returned, forming a closed-loop feedback among design, quality, and manufacturing. This data loop greatly reduces manual rework and improves change transmission efficiency by up to NX The core value lies in its downstream automation capabilities. It can directly use 70%。

MBDVidia data generated by NX to automate inspection planning, generate First Article Inspection ( CAD FAI ) reports, and optimize metrology workflows. Ecological collaboration,

02  plugin matrix breaks down data silos. QIF To build a complete

ecosystem, MBD has developed a series of plugins adapted to mainstream Capvidia platforms, forming a technology matrix covering multiple design environments: QIF - MBDConnect for Creo

: supports direct publishing of Creo or STEP AP242 CAD models, compatible with Creo 4 and above, and can automatically generate human-readable 3D PMI - FormatWorks for SOLIDWORKS SOLIDWORKS 2021+ , and can import original 2D CATIA geometries.   

- MBDConnect for NX Creo : enables data publishing in the STEP AP242 CAD models, compatible with Creo 4 and above, and can automatically generate human-readable 3D PMI environment, compatible with NX 11 to series versions, supporting automated first article inspection and coordinate measuring machine operations. These plugins collectively solve multi-environment collaboration challenges, ensuring lossless transmission of design intent. Automatically generated 、 or reports and measurement data import functions improve quality control efficiency by more than MBD and significantly reduce defect rates.   

PTC also enhanced NX capabilities in the CAD Creo 12 released in month, 2000s improving 3D PDF and STEP AP242 Edition 3 export functions, making

GD&T QIF (Geometric Dimensioning and Tolerancing) annotations smarter and more efficient. ) reports, and optimize metrology workflows. Factory practice: paperless systems unleash the potential of smart manufacturing. 35%以上，质量缺陷率显著下降。

PTC公司也在2025 In the year 5月发布的Creo 12中强化了 MBD 能力，改进3D PDF和STEP AP242 Edition 3导出功能，使GD&T（几何尺寸与公差）标注更智能高效。

03 工厂实践，无纸化系统释放智能制造潜能

In real manufacturing scenarios, MBD technology is bringing revolutionary changes. The case of Hangzhou Huarei Information Technology Co., Ltd. shows that its paperless solutions have taken root in multiple industries:

A new energy vehicle battery factory achieved electronic process documentation rate by deploying a dynamic process guidance system, 100% shortened production line startup cycle, 40% and reduced defect rate. 25%。

In the photovoltaic module manufacturing field, integration of SolidIMES system with 100 multiple automated guided vehicles ( AMR ) realizes fully automated logistics from raw material input to finished product warehousing, reducing labor costs, 40% and shortening delivery cycles. 25%。

Hongyu Precision Group launched the country's first fully autonomous and controllable 2025 In the year 2 product design platform in MBD month. After nine months of hard work, the project built a new generation intelligent design solution covering tool interfaces, methodology systems, and data ecosystems.

"By unifying the full-chain material barcode standards and connecting batch tracking with full product lifecycle data, we successfully eliminated information silos," said the project leader of Hongyu Precision. The company improved on-time delivery rate for line-side warehouse distribution, optimized inventory turnover, and established full-process data traceability.

04  The future is here, with the digital mainline driving a new manufacturing ecosystem.

With the popularization of CAD standards and MBD mature tools, the manufacturing industry is undergoing a comprehensive transformation from "model-based definition" to "model-based enterprise." The core of this transformation is building a digital mainline throughout the entire product lifecycle. Through MBDVidia and other tools, design data can directly drive quality inspection equipment, and measurement results can be fed back to the design system, forming a continuous optimization closed loop. Huarei Information pointed out in its technology outlook that paperless is not just "removing paper," but the starting point of full-element digitalization. The future will focus on three major directions: AI driven adaptive production, digital twin and virtual-real integration, and green manufacturing closed loops. 驱动的自适应生产、数字孪生与虚实融合、绿色制造闭环三大方向。