Digital Supply Chain Transformation

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.

• Covers system dynamics modelling techniques to address complex supply chain problems and optimize supply chain processes.
• Discusses the potential of machine learning and artificial intelligence in supply chains, and 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, enhancing efficiency and reducing operational costs.