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

Mishra Ph.D., Vinaytosh

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 and Associate Dean at the Thumbay College of Management and AI in Healthcare, Gulf Medical University, UAE. He holds a PhD in Healthcare Supply Chain Management and has completed postdoctoral fellowships in AI in Healthcare and Ethical AI. With more than 19 years of experience spanning information technology, manufacturing, finance, healthcare, and education, he has held leadership roles including CEO of a multispecialty hospital. His research and teaching focuses on supply chain management, operations management, business analytics, AI-enabled decision support, digital transformation, optimization, simulation, Lean Six Sigma, and digital twins. He is an inventor on one Australian and two German patents in AI for healthcare and serves as a domain expert for AI implementation in healthcare at AHB.ai in Sharjah, UAE. He has designed and launched successful undergraduate and postgraduate programs in healthcare management and AI in healthcare.

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
• Edition number: 1
• Number of pages: 354