ASM Pacific Technology Ltd., the world’s largest supplier of semiconductor and LED manufacturing equipment, streamlined its global design-to-production operations by standardizing on Siemens NX CAD/CAM solutions. Facing challenges with disconnected design and manufacturing data, inefficient machining programs, and long lead times for design changes, ASM deployed NX’s feature-based machining and PMI-driven workflows. This integration enabled smart factories, increased production efficiency and quality by 70%, and ensured fast, accurate responses to ever-evolving electronics technology demands.

  • Direct CAD-to-CAM Continuity: By leveraging NX’s feature-based machining, ASM automatically reads PMI from 3D models, seamlessly transferring design data to machining processes—reducing manual errors and eliminating data silos.
  • Integrated Simulation and Verification: NX CAM’s advanced simulation tools ensure reliable NC programming with virtual G-code-driven machine tool verification, minimizing costly trial cuts and guaranteeing first-time-right machining.
  • Accelerated Change Management: NX’s unified environment enables manufacturing teams to quickly adapt to design updates, significantly cutting response time to customer and market demands while shortening time-to-market.
  • Standardized Global Workflows: With over 100 NX CAM suites deployed across production sites in Shenzhen, Singapore, and Malaysia, ASM has built a consistent, standardized machining process that boosts accuracy, efficiency, and quality.
  • Smart Factory Advancement: The seamless connection between CAD and CAM supports ASM’s vision of smart identification of machining features, automated tool path generation, and reliable process control—driving its mission to build next-generation smart factories.
  • Sustainable Competitive Edge: With NX as its core platform, ASM continues to deliver innovative manufacturing solutions for semiconductor, IC, and LED industries—strengthening its leadership in advanced electronics equipment production.

Download Case Study

Leave a Reply