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Supply Chain Management and Analytics
Explore how data-driven insights strengthen supply chain performance across all stages of operations.
This practical program introduces the foundations of modern supply chain management and shows how analytics supports better decision-making. You’ll examine real-world examples and learn tools to improve efficiency, manage uncertainty and enhance organisational performance in supply chains of any scale.
2 Days
Overview
Effective supply chain management is essential in an interconnected world where decisions at one point influence outcomes across an entire network. This course introduces the key structures, flows and activities that shape supply chain performance, giving you a clear understanding of the elements that underpin efficient and resilient operations.
You will explore analytical tools that support data-driven decision-making and learn how insights from forecasting, modelling and performance monitoring can improve choices across procurement, logistics and inventory management. Through accessible explanations and guided activities, the program helps you strengthen your ability to make informed decisions in complex or uncertain environments.
Real-world case studies at national and international levels highlight how analytics enhances responsiveness, reduces risk and supports strategic advantage. By combining essential concepts with practical application, this course gives you a strong foundation for managing and improving supply chains of varying sizes and levels of complexity.
Who Should Attend
This course is ideal for anyone seeking to strengthen their understanding of supply chain management and analytics, regardless of prior experience. It is particularly valuable for executives and managers responsible for supply chain operations, as well as professionals working in logistics, procurement and operations management.
Analysts and decision makers wanting to apply data-driven approaches to practical supply chain challenges will also benefit. The program supports participants who want to improve performance, manage uncertainty and build confidence in applying analytical tools to real organisational contexts.
Course Content
During this training course, you will explore:
- Foundations of supply chain management
- Inventory management principles and practices
- Global supply chain structures and challenges
- Demand forecasting approaches
- Transport modelling techniques
- Monitoring and interpreting key performance indicators
- Decision-making under uncertainty
- Real-world case studies from national and international contexts.
Learning Outcomes
By the end of this training course, you should be able to:
- Understand the core principles and structures of supply chain management
Apply analytical tools to improve decision-making across supply chain functions - Build confidence when making decisions under uncertainty and complexity
- Draw insights from real-world case studies to strengthen global supply chain perspectives
- Monitor and interpret key performance indicators to guide effective action
- Develop practical strategies for managing inventory, forecasting demand and optimising transport.
Facilitator Profile
Dr. Mehdi Rajabi Asadabadi
Lecturer, Academic, and Strategic Mentor
Mehdi is an award-winning lecturer, academic, and strategic mentor specialising in supply chain management, decision frameworks, and analytics.
He has the experience of coordinating and teaching courses in different capacities at a few top universities in Australia, including the University of New South Wales (UNSW), the Australian National University (ANU), the University of Sydney (USYD), and the University of Western Australia (UWA).
He is currently coordinating courses such as Supply Chain Management and Supply Chain Analytics at UWA. With extensive experience in teaching and mentoring, he focuses on helping professionals and students translate complex concepts into clear, actionable strategies. He has proven to be committed to equipping participants with the tools to make fair, effective, and data-driven decisions in supply chain environments.
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