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

by Gupta, Arun

• ISBN13: 9781604272109
• ISBN10: 1604272104
• eBook ISBN(s): 9781604278651
• Format: Hardcover
• Copyright: 2025-07-22
• Publisher: J. Ross Publishing
• More Book Details

Summary

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.

Author Biography

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.

Table of Contents

Chapter 1: Why Focus on Manufacturing Chapter 2: The Manufacturing Value Chain Chapter 3: Leveraging Advanced Analytics and Business Intelligence in Manufacturing Chapter 4: Common Algorithms, Tools, and Frameworks in AI/ML for Manufacturing Chapter 5: Product Design and Development in Manufacturing Chapter 6: Leveraging Advanced Analytics, BI, ML, and AI in Procurement Chapter 7: Incorporating Advanced Analytics, BI, ML, and AI in Manufacturing and Production Chapter 8: Leveraging Advanced Analytics, BI, ML, and AI in Distribution and Logistics Chapter 9: Advanced Analytics, BI, ML, and AI in Sales & Marketing and After-Sales Service Chapter 10: Unleashing the Potential of Advanced Analytics, BI, ML, and AI in Manufacturing References Index