Supply Chain Analytics and Digitisation

• • Supply chain analytics.
  • Omni-channel retailing.
  • Industry 4.0 and IoT in smart supply chains.
  • Digital twins in smart supply chain.
  • Coordinating demand and supply.

Others

Prerequisites: Students must complete 240 credit points (At least 120 credit points at Level one, and at least 90 credit points at Level two).

Additional requirements

No additional requirements

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.

• Prepare an individual report on supply chain mapping and analysis. Equivalent to 900 words per student. (20%)
• Using AI and simulation tools in supply chain. Equivalent to 1800 words per student. (40%)
• Conduct an individual business case study on smart supply chain analysis: recorded oral presentation 22% - 20 min (equivalent to 1000 words); short essay on critical thinking 18% (800 words). Equivalent to 1800 words in total per student. (40%)

For textbook details check your university's handbook, website or learning management system (LMS).