Mini Map

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