Overcoming the Challenges of Large Assembly Management in CAD

Описание: Chapters:
0:00 Intro
1:14 Common Challenges
2:50 Strategies for Handling Large Assemblies
5:26 Tools and Techniques
11:01 Example
14:05 Conclusion

Managing large CAD assemblies can be a frustrating roadblock for engineering teams—slow load times, crashes, version control issues, and cross-team conflicts are all too common. In this video, Michael Roberts, VP of Sales and Marketing at SPK and Associates, sits down with Daniela Alcantar, our resident CAD SME, to share practical strategies for overcoming large assembly performance challenges in tools like SolidWorks and Creo.

💡 Topics Covered:

Common causes of performance slowdowns in large assemblies
Real-world issues with version control and file corruption
How to leverage lightweight modes and large assembly settings
The importance of using a PDM system (like Windchill or SolidWorks PDM)
A detailed customer success story on solving assembly lag and crashing

Whether you're an engineer, CAD admin, or IT leader supporting product development, this video offers actionable insights to improve CAD performance and collaboration.

🔧 Want faster, smoother CAD workflows? Learn more about SPK’s CAD and cloud engineering services

ABOUT SPK AND ASSOCIATES
SPK and Associates (https://www.spkaa.com/) is a leading woman-owned Engineering & IT Services Company that serves product and software development teams. For 20 years, we have helped our customers harness technology to optimize engineering and attain their business goals. We understand the systems, processes, data and applications critical to successful product development, and dedicate ourselves to helping you build, test, and release your products faster and better. Our core expertise covers four functional areas:

– Product Lifecycle Management (PLM, PDM, QMS, MCAD, ECAD) - https://bit.ly/3nr3D6F
– Software Lifecycle Management (ALM, DevOps) - https://bit.ly/3JSK3HQ
– Cloud for Engineering (Infrastructure, Security) - https://bit.ly/3nrVD54
– Data Engineering and Analytics - https://bit.ly/3KcmMlx

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