Technology-enabled supply chains are becoming increasingly effective, efficient, and transparent. In the future scenario of smart supply chains, a supply chain in the real world will be simulated by its digital twin deployed in a cloud computing platform. Real-time data in factories, warehouses, and transport vehicles will be collected and processed by Internet of Things (IOT) devices, and then sent to the supply chain’s digital twin. The data analytics and artificial intelligence (AI) models behind the digital twin will analyse the data, simulate the supply chain processes in the real word, and help us to make informed decisions for supply chain management, such as inventory control and redeployment for supply chain disruptions, dynamic management of suppliers, and fast responses to customers’ complaints. In this subject you will learn how to model and design smart supply chains to enable data driven decision making, optimisation of operations, and adaptation to changing market conditions. Using authentic case studies and practical digital tools, you will develop the critical thinking and problem-solving skills required to identify problems in the smart supply chains and develop practical solutions to address these problems.