Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions - Softcover

Mishra

Softcover

ISBN 10: 0443339953 ISBN 13: 9780443339950

Publisher: Elsevier, 2026

Synopsis

Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management.

Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more.

• Covers system dynamics modeling techniques to address complex supply chain problems and optimize supply chain processes
• Discusses the potential of machine learning and artificial intelligence in supply chains, along with application of these technologies to innovate and solve real-world supply chain challenges
• Presents theories and examples on supply chain analytics and tools to make data-driven decisions for enhancing efficiency and reducing operational costs

About this title

About the Author

Dr. Vinaytosh Mishra is an Associate Professor for Healthcare Management (Management, Digital Health, and Heath Analytics) at the College of Healthcare Management and Economics, Gulf Medical University, Ajman (UAE). He has more than 14 years of experience in industries like Healthcare, EdTech, Finance, and Information Technology. He was instrumental in making a diabetes specialty clinic into a fifty bed multi-specialty clinic in his tenure at Aaroha Healthcare (P) Ltd. In his last Assignment as Associate Professor at FORE School of Management, New Delhi he was program director for two successful long duration programs namely “Building Intelligent Healthcare Analytics” and “PGPM in Healthcare Management and Analytics”. He is also a certified Diabetes Educator and Green Belt in Lean Six Sigma. He has also successfully filled a patent for a device for early detection of diabetes using nailfold capillaroscopy. His research interests include AI in Healthcare, Chronic Disease Care, Healthcare Supply Chain Management, Health Economics, Medical Tourism, Health Technology Assessment, and Digital Health.

From the Back Cover

Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility will be explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. There is a growing recognition that supply chain management can be significantly improved by leveraging modern technologies, such as machine learning and generative AI, to enhance efficiency and accuracy. Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions helps readers:

• Comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries.
• Recognize the significance of digital transformation in supply chains, understanding the tools, technologies, and strategies essential for a successful transformation.
• Evaluate the importance of end-to-end supply chain visibility and employ methods and technologies to enhance this visibility in practical scenarios.
• Apply system dynamics modelling techniques to address complex supply chain problems and optimize supply chain processes.
• Utilize supply chain analytics and tools to make data-driven decisions, enhancing efficiency and reducing operational costs.
• Understand the potential of machine learning and artificial intelligence in supply chains, applying these technologies to innovate and solve real-world supply chain challenges.
• Identify and analyze emerging trends in supply chain management, anticipating future challenges and opportunities in the field.
• Demonstrate the ability to apply theoretical knowledge to practical scenarios, devising solutions for real-world supply chain challenges.
• Critically evaluate supply chain strategies, technologies, and solutions, recommending improvements and innovations based on informed analysis.

Edition details

• Publisher: Elsevier
• Publication date: 2026
• Language: English
• ISBN 10: 0443339953
• ISBN 13: 9780443339950
• Binding: Paperback
• Number of pages: 354