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

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.

Key Features:

• Covers everything from foundational concepts to advanced applications, making it an all-in-one resource for professionals seeking to understand and implement these technologies in their operations
• Tailored to all levels of expertise within manufacturing, especially leadership trying to jump into AI/ML or jump-start their stalled efforts
• Goes beyond theoretical concepts, offering practical, actionable strategies that can be directly applied to real-world manufacturing challenges, thereby enhancing efficiency, reducing costs, and driving innovation
• Includes case studies and practical examples from leading manufacturers that demonstrate how to leverage these technologies effectively
• Focuses not only on current applications but also explores the future of smart factories, Industry 4.0, and AI-driven manufacturing, including the convergence of AI, IoT, digital twins, and real-time ML decision-making on the production floor

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.