Industrial AI Podcast How Zeiss engineers use the Markov Chain
Sep 28, 2022
Discover how Zeiss engineers leverage Markov chains to enhance lens production efficiency. The conversation dives into innovative AI-based automation in industrial settings and the ongoing challenges of real-time applications. Explore the significance of predictive quality analytics in manufacturing, as well as the importance of data organization in optimizing processes. The hosts highlight the dual nature of AI while advocating for responsible practices. Plus, insights into strategic alliances in the semiconductor industry keep the dialogue engaging.
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Zeiss Lens Production
- Zeiss Vision Care produces 120 million eyeglass lenses yearly, serving 60 million customers globally.
- They utilize freeform technology, developed in 2000, to customize each lens's backside for individual prescriptions.
Quality and Yield
- Zeiss measures production yield internally and aims to deliver only perfect lenses to customers.
- Defects necessitate scrapping and restarting orders, impacting costs and delivery times.
Markov Chains Explained
- Markov Chains model processes with random influences by focusing on the present state of an object.
- This memoryless approach simplifies future state prediction, aiding process analysis and insight generation.