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Home > Business and Economics Books > Business and Management > Management and management techniques > Production and quality control management > The New Manufacturing Value Chain: Leveraging AI, Machine Learning, and Advanced Analytics for Success
The New Manufacturing Value Chain: Leveraging AI, Machine Learning, and Advanced Analytics for Success

The New Manufacturing Value Chain: Leveraging AI, Machine Learning, and Advanced Analytics for Success


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About the Book

We are in the early stages of a transformational period in our economic and digital age that will revolutionize the manufacturing value chain. As this period progresses, there will be opportunities to optimize key activities across manufacturing, supply chain planning, distribution, procurement, and contracting. Organizations that apply Generative AI, business intelligence (BI), machine learning (ML), and advanced analytics will unlock trillions of dollars in economic value, reduce working capital and waste, increase agility, and make better decisions.

Unlike other sources that may address these technologies in isolation or focus on generic applications, The New Manufacturing Value Chain provides a comprehensive framework that integrates these powerful tools into every aspect of manufacturing, from design to after-market service. It explores the many ways in which ML, AI, BI, advanced analytics, and Generative AI are harnessed to gain real-time visibility into production metrics, equipment performance, and supply chain dynamics. By leveraging cutting-edge algorithms and tools, manufacturers can optimize processes and achieve superior performance. This book will show you how. Its practical approach ensures that readers can immediately apply what they learn to their work environments.

About the Author :
Dr. Arun P. Gupta is a seasoned expert with over 25 years of experience spanning academia, manufacturing, and management consulting. His work centers on IT, analytics, artificial intelligence (AI), and machine learning (ML), helping organizations harness these technologies to drive digital transformation and business optimization. Dr. Gupta holds a bachelor’s degree in chemical engineering and a doctorate in computer science engineering from the University of Texas at Arlington. His career has been defined by his ability to bridge the gap between technical innovation and business leadership. Having worked with industry giants such as Weyerhaeuser, IBM, Caterpillar, and Deloitte, he understands the nuanced language required to foster collaboration between programmers, managers, and executives.

Review :

"Arun's book is a must-read for anyone serious about unlocking the full potential of AI and ML in manufacturing. With remarkable clarity, Gupta takes readers through the entire manufacturing value chain, showing exactly how cutting-edge technologies are transforming each link." --Ananth Iyer, Dean, University at Buffalo School of Management

"Arun masterfully breaks down the 'why, ' 'what, ' and 'how' of modern manufacturing, guiding readers through the complexity of today's interconnected global ecosystem. It's a powerful tool for anyone looking to understand and improve manufacturing operations using the latest digital technologies." --Dwight Hendrickson, Supply Chain Executive, Caterpillar and NC Export Council Member

"With clear explanations and compelling case studies, Arun shows how AI, machine learning, IoT, and smart factory technologies are transforming productivity, safety, and strategic decision-making. This book delivers essential insights for every executive's playbook." --Daniel Stanton, CEO, Mr. Supply Chain

"Using data-driven analysis and case studies, Arun shows how organizations can use AI and analytics to build resilient, transparent, and adaptive supply chains. For leaders seeking to drive meaningful digital transformation, this book is an indispensable resource." --Seshukumar Akella, AI and Analytics Leader, Deloitte Consulting


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Product Details
  • ISBN-13: 9781604272109
  • Publisher: J Ross Publishing
  • Publisher Imprint: J Ross Publishing
  • Height: 254 mm
  • No of Pages: 288
  • Sub Title: Leveraging AI, Machine Learning, and Advanced Analytics for Success
  • ISBN-10: 1604272104
  • Publisher Date: 31 Aug 2025
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Width: 178 mm


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