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AI for advanced manufacturing and industrial applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI for advanced manufacturing and industrial applicationsby Bidyut Sarkar, Rudrendu Kumar Paul.
Author:	Sarkar, Bidyut.
other author:	Paul, Rudrendu Kumar.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xx, 174 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceIndustrial applications.
Online resource:	https://doi.org/10.1007/978-3-031-86091-1
ISBN:	9783031860911$q(electronic bk.)

AI for advanced manufacturing and industrial applications
Sarkar, Bidyut.

AI for advanced manufacturing and industrial applications[electronic resource] /by Bidyut Sarkar, Rudrendu Kumar Paul. - Cham :Springer Nature Switzerland :2025. - xx, 174 p. :ill. (chiefly color), digital ;24 cm.

Introduction to AI in Manufacturing -- AI-Driven Manufacturing Processes -- AI and Advanced Analytics Applications -- Intelligent Supply Chains -- Implementation Challenges and Solutions -- AI Safety and Ethical Considerations -- The Road Ahead.

This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end. Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models. Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you're a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.

ISBN: 9783031860911$q(electronic bk.)

Standard No.: 10.1007/978-3-031-86091-1doiSubjects--Topical Terms:

524554
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78

Dewey Class. No.: 670.28563

AI for advanced manufacturing and industrial applications
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505 0 $a Introduction to AI in Manufacturing -- AI-Driven Manufacturing Processes -- AI and Advanced Analytics Applications -- Intelligent Supply Chains -- Implementation Challenges and Solutions -- AI Safety and Ethical Considerations -- The Road Ahead.
520 $a This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end. Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models. Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you're a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.
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650 0 $a Manufacturing processes $x Automation. $3 189491
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650 2 4 $a Industrial and Production Engineering. $3 273753
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