All schedule
AI & Molding Process Control

From Process Setup to Adaptive Control: The Technology Behind AI-Driven Injection Molding

Moldintel Co., Ltd.

  • Wed, 18 Nov 2026
  • 18:30 – 18:55 JST
From Process Setup to Adaptive Control: The Technology Behind AI-Driven Injection Molding

Overview

Discover how AI transforms injection molding, from intelligent process parameter setup to real-time monitoring and adaptive control. This session explores the core technologies behind Moldintel’s AI solutions, explaining how AI responds to process variations and automatically adjusts molding parameters to maintain consistent quality. Real-world customer applications will demonstrate how these technologies reduce trial-and-error, improve production efficiency, and enhance process stability.

Speakers

Speakers

Dr. John Y.H. Chang is the Founder and CEO of Moldintel. He holds a Ph.D. in Mechanical Engineering from Chung Yuan Christian University, where he also served as a postdoctoral researcher and adjunct assistant professor. With over 15 years of experience in injection molding and smart manufacturing, he specializes in AI-driven process optimization and intelligent manufacturing systems. Since founding Moldintel in 2020, he has led the development of innovative AI solutions, driving the transformation of conventional injection molding toward autonomous, self-learning manufacturing.

Moldintel Co., Ltd.

〒330030
3F., No. 71, Chongfa St., Taoyuan Dist., Taoyuan City 330030, Taiwan (R.O.C.)
Taiwan, Province of China

Company Profile

Moldintel Co., Ltd. is a smart manufacturing solution provider for the injection molding industry, delivering cloud-based intelligent molding modules that reduce reliance on operator experience, improve process stability, and enhance productivity and yield consistency. The system enables cross-brand machine connectivity, requires no modifications to existing equipment, and supports adaptive process control through Industrial IoT integration, driving injection molding operations toward highly automated production.
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