Update: Using AI for Mixed Model Line Design

About the webinar:
Every day seems to bring some new announcement about the ever-expanding capabilities of AI. It's a time of great excitement, and also of great concern. "Will AI take my job?" for example. Or more likely "Will someone good at using AI take my job?". This latter scenario is more likely, at least in the near-term.
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The time seems to be right to offer an update on AI development, and to do some more ambitious future-casting on what we see coming. This report is from the perspective of a Lean Manufacturing professional, not that of an AI expert. Here's a summary of what we will be discussing:
The Lean Manufacturing World Prior to AI
There are four main areas for the application of automation prior to the AI revolution: Programmable Logic Controllers (PLCs), CNC machines, basic robotics and simulation software.
AI: What is Possible Right Now
This is a quickly moving target, but areas of development today include capabilities like resource optimization, dynamic line balancing, the creation of digital twins, AI-based inspection and quality control, accelerated creating of software tools, and product mix analysis.
AI: Coming Soon to a Factory Near You
The capabilities discussed in this section of the webinar may not be available right now, but will be soon. They include AI-capable robots, full real-time monitoring of the production process, a fully automated line design, highly accurate predictive maintenance, collaborative human-AI systems.
The integration of AI into Mixed Model Line Design represents a significant leap forward in manufacturing efficiency and flexibility. Current AI capabilities are already transforming the way lines are designed, offering enhanced demand forecasting, dynamic line balancing, virtual simulation, quality control, and resource optimization. Looking ahead, the potential for AI in MMLD is vast, with advancements such as AI-capable robots, real-time monitoring, fully automated line design, predictive maintenance, and collaborative AI systems poised to revolutionize the field. By embracing these technologies, manufacturers can create more adaptable, efficient, and resilient production lines, meeting the ever-evolving demands of today's market.