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{ "item_title" : "Agentic AI in Manufacturing & Industry 4.0", "item_author" : [" Tayeb Ayat "], "item_description" : "Volume 9 of The Agentic AI Handbook. This comprehensive guide explores how autonomous AI agents are transforming modern manufacturing operations and Industry 4.0 environments. From optimizing throughput and minimizing energy-per-unit to deploying predictive maintenance and OEE coaches, this volume details the specialized agents driving the factories of the future. Readers will discover how to integrate intelligent systems into industrial robotics, including multi-arm coordination, vision-based pick-and-place copilots, and human-in-the-loop safety sentinels.Beyond the factory floor, the book examines manufacturing-focused supply chain and logistics applications, such as S&OP orchestrators, procurement negotiation agents, and CO2-aware routing optimizers. It also provides a deep dive into quality assurance and inspection, showing how vision defect detectors, SPC anomaly agents, and digital COA/PPAP reviewers streamline compliance and traceability. Finally, the text tackles connected factories and edge computing, highlighting crucial implementations like edge model fleet managers, factory twin scenario simulators, and Cyber-OT threat watches for industrial control systems.Written specifically for industrial architects, manufacturing engineers, and operations leaders, this volume provides the technical blueprint for deploying agentic AI across the entire production lifecycle. Whether you are building scrap root-cause agents or orchestrating federated learning across connected facilities, this book equips you with the practical knowledge to modernize your industrial operations.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/890/604/9798906040404_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Agentic AI in Manufacturing & Industry 4.0|Tayeb Ayat

Agentic AI in Manufacturing & Industry 4.0 : A Comprehensive Hands-On Guide to Agentic AI Frameworks, Multi-Agent Reasoning, and Scalable Autonomous Wo

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Overview

Volume 9 of The Agentic AI Handbook. This comprehensive guide explores how autonomous AI agents are transforming modern manufacturing operations and Industry 4.0 environments. From optimizing throughput and minimizing energy-per-unit to deploying predictive maintenance and OEE coaches, this volume details the specialized agents driving the factories of the future. Readers will discover how to integrate intelligent systems into industrial robotics, including multi-arm coordination, vision-based pick-and-place copilots, and human-in-the-loop safety sentinels.

Beyond the factory floor, the book examines manufacturing-focused supply chain and logistics applications, such as S&OP orchestrators, procurement negotiation agents, and CO2-aware routing optimizers. It also provides a deep dive into quality assurance and inspection, showing how vision defect detectors, SPC anomaly agents, and digital COA/PPAP reviewers streamline compliance and traceability. Finally, the text tackles connected factories and edge computing, highlighting crucial implementations like edge model fleet managers, factory twin scenario simulators, and Cyber-OT threat watches for industrial control systems.

Written specifically for industrial architects, manufacturing engineers, and operations leaders, this volume provides the technical blueprint for deploying agentic AI across the entire production lifecycle. Whether you are building scrap root-cause agents or orchestrating federated learning across connected facilities, this book equips you with the practical knowledge to modernize your industrial operations.

Details

  • ISBN-13: 9798906040404
  • ISBN-10: 9798906040404
  • Publisher: Soft Flourish
  • Publish Date: July 2026
  • Dimensions: 11 x 8.5 x 0.88 inches
  • Shipping Weight: 2.53 pounds
  • Page Count: 274

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