Supply Chain Analytics

Synopsis

Supply chain management decisions are becoming increasingly data-driven. SCM511 Supply Chain Analytics covers the application of data analytics techniques to identify and solve complex supply chain problems and improve overall performance. Students will learn to make decisions at different levels of a multi-tier supply chain by leveraging technology and analytics. The course aims to expose students to the risks and uncertainty inherent in supply chain management and how to handle them. It will help students to solve problems in inventory management, demand management and network design as well as improve the efficiency of an organisation’s supply chain. Using real-world examples, students will learn to identify and optimise a supply chain using analytical tools.

Level: 5
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

Introduction to Supply Chain Analytics
Data Collection and Data Visualisation
Uncertainty and Risk
Descriptive Models
Predictive Models
Prescriptive Models
Inventory Analytics
Newsvendor Model
Demand Analytics
Forecasting for Demand Analytics
Network Design
Travelling Salesman Problem

Learning Outcome

Analyse the role of data analytics in supply chain management
Estimate the risks and uncertainties present in supply chain management
Improve the way inventory is managed
Collect data required for data analysis
Construct forecasting techniques for demand management
Solve the newsvendor problem

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Supply Chain Analytics