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

Gupta, Arun

 
9781604272109: The New Manufacturing Value Chain: Leveraging AI, Machine Learning, and Advanced Analytics for Success
Hardcover
ISBN 10: 1604272104 ISBN 13: 9781604272109
Verlag: J Ross Publishing, 2025

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

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Verlag
J Ross Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
1604272104
ISBN 13 
9781604272109
Einband
Tapa dura
Anzahl der Seiten
288
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar