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Data driven supply chain optimisation and AI applications
TRC6801
Synopsis
This unit provides a comprehensive introduction to the use of data analytics and artificial intelligence (AI) in optimising modern supply chains. You will gain skills to evaluate key supply chain processes and apply data-driven methodologies to enhance efficiency, reduce costs and improve decision-making. Through hands-on projects and case studies, you will design predictive models using AI and machine learning techniques, synthesising data from multiple sources to address complex challenges. You will explore the integration of AI within decision-making frameworks, ensuring supply chain resilience and adaptability in dynamic global markets. Emphasis is placed on the importance of sustainable and ethical practices, highlighting their role in creating socially responsible supply chain strategies. By the end of the unit, you will have a strong foundation in leveraging data insights to justify strategies and solutions in real-world supply chain environments, preparing you for roles in industries increasingly driven by AI and data analytics.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 0
- Level
- 6
- Audience
- Postgraduate
- Type
- HDR
- School
- Faculty of Engineering
- Faculty
- Department of Mechanical and Aerospace Engineering
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (1)
- First semesterMalaysia · ON-CAMPUS