NEW BOOK - Quality Cost From Theory to Deployment with AI LLMs - Leveraging the IPE Process Platform
Operations
executives seeking competitive advantage through operational excellence,
business transformation, and continuous improvement efforts. Quality seeking to
eliminate frustration with compliance systems that don't drive improvement.
Plant Managers struggling to prioritize among competing problems. CFOs
demanding ROI justification for quality investments. IT leaders implementing
AI/LLM solutions that need domain expertise. Engineers designing products for
manufacturability. Anyone responsible for eliminating waste and improving
profitability.
Available
on Amazon: https://www.amazon.com/dp/B0G5X9K9NG
Happy to have a call if you would
like to learn more.
https://www.linkedin.com/in/johncachat/
This comprehensive guide reveals
how to implement a Quality Cost Accumulator - an AI-powered system that
integrates data from ERP, MES, QMS, PLM, and unstructured data. You'll discover
how Large Language Models (LLMs) trained on your Integrated Process Excellence
(IPE) Process Platform can automatically categorize costs, identify failure
patterns, predict risks, and generate persona-specific insights for every
stakeholder from operators to executives.
What You'll Learn:
Multi-Persona Intelligence - How to configure systems that automatically generate tailored insights for CFO (EBITDA impact), COO (throughput constraints), Plant Manager (immediate actions), Engineering (design failures), Purchasing (supplier quality), Sales (customer risk), Marketing (brand exposure), and HR (training gaps)
The Super Cube Approach - How to integrate unstructured data (emails, complaints, technician notes) with structured data (production logs, inspection results, financial transactions) to reveal complete cause-and-effect chains
#QualityCost
#OperationalExcellence #ManufacturingAI #ProcessImprovement #LeanManufacturing
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