Supply Chain Management: AI, Sustainability, and Resilience Strategies Program
Published: Program occurs multiple times each year. Visit the program page to learn more.
Description
Strategic innovation in supply chain management is crucial to secure a competitive advantage. Today’s supply chain leaders must embrace curiosity and intentionality in steering their organizations toward efficient, transformative digital solutions.
The Supply Chain Management: AI, Sustainability, and Resilience Strategies Program equips you to effectively integrate new technologies into your supply chain operations.
Over six weeks, you’ll discover practical methods for fostering resilience, promoting sustainability, and creating value by incorporating artificial intelligence (AI) and the Internet of Things (IoT) into your supply chains.
You’ll also explore hands-on case studies, offering profound insights into the decision-making approaches of leaders who’ve dealt with the intricate challenge of transforming a supply chain organization.
Walk away with insights you can instantly apply in your context, enabling you to lead transformations across the entire supply chain life cycle using AI and IoT.
Course Takeaways
- Practical tools and frameworks for transforming your supply chain operations using artificial intelligence (AI) and the Internet of Things (IoT).
- The ability to cultivate organizational resilience and manage unexpected disruptions in the supply chain, facilitated by resilient leadership.
- The skills and insights to generate strategic value within supply chains, giving your organization a competitive advantage.
- An enhanced capacity to lead with influence and oversee the transformation and digitization of your organization’s supply chains.
Meet the Instructors
Sang Kim is a Professor of Operations Management at the Yale School of Management. Professor Kim specializes in supply chain management and service operations, with a particular interest in management of business process failures. He develops analytical models based on operations research and game theory to study practice-driven problems. His recent research interests include managing low-probability/high-impact disruptions in supply chains, sustainable operations, and social responsibility in supply chain management. Using the risk management framework, he has studied problems in application areas such as aftermarkets in the aerospace and defense industry, environmental regulation, and social enterprises in developing economies. Kim’s research has been published in top management journals including Management Science, Operations Research, and Marketing Science. Currently he serves as an associate editor at Management Science and Manufacturing & Service Operations Management. Professor Kim received his Ph.D. degree in Operations and Information Management from the Wharton School, University of Pennsylvania, MS in Scientific Computing & Computational Mathematics from the Stanford University, and BA in Physics from the University of Pennsylvania.
Biography
