Case Study: Yazaki North America achieves faster time studies and higher productivity with DeepHow Time and Motion AI

A DeepHow Case Study

Preview of the Yazaki North America Case Study

Yazaki North America cuts line analysis from weeks to days with DeepHow

Yazaki North America, a major automotive supplier, faced the challenge of manually conducting time and motion studies in its complex assembly environments. This traditional process was resource-intensive and too infrequent to effectively identify production losses and bottlenecks. To address this, they partnered with vendor DeepHow to implement its Time and Motion AI solution.

DeepHow's AI-powered solution automated the manual observation, timing, and classification of operator actions. This provided Yazaki North America with on-demand analysis, reducing line-analysis time from weeks to days and generating insights from video in minutes. The partnership is projected to save the company tens of millions of dollars annually by improving workforce efficiency and allowing engineers to focus on process improvement instead of data collection.


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