Could PLM have saved the 737MAX?
from AI Across The Product Lifecycle Podcast Hosted by Michael Finocchiaro
The podcast features a panel of experts discussing the role of PLM in preventing catastrophic product failures, focusing on the Boeing 737 Max and other similar incidents. The conversation delves into the challenges of managing complex systems, the impact of cost-cutting measures on engineering excellence, and the need for a robust digital thread to capture and analyze critical data. The conversation covers a wide range of topics related to digital thread, digital twin, product lifecycle management, and the challenges faced in the aerospace and automotive industries. It also delves into the importance of real-time data, IoT-enabled black boxes, and the ethical responsibility of product developers. Takeaways Complexity of technology and cost-cutting measures impact engineering excellence The need for a robust digital thread to capture and analyze critical data Digital thread and digital twin are essential for real-time monitoring and management of product lifecycle. The integration of IoT-enabled black boxes and real-time data can significantly improve safety and performance in the aerospace and automotive industries. Chapters 00:00 Impact of Cost-Cutting Measures on Engineering Excellence 57:06 Recycling and Afterlife of Products #AI #EngineeringAI #CAD #PLM #DigitalThread #Manufacturing #SupplyChain #IndustrialAI #EngineeringSoftware #AgenticAI #AIAcrossTheProductLifecycle #BetterCallFino
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