AI for Supply Chain Management in Advanced Manufacturing

Early insights from Flinders University research helping manufacturing SMEs make better AI‑supported supply chain decisions under disruption

This webinar shares early, practical insights from Flinders University–led research exploring how artificial intelligence can support better supply chain decision‑making in advanced manufacturing SMEs.

As supply chains face increasing disruption, complexity and uncertainty, many manufacturers are being asked to make faster, higher‑stakes decisions with limited information. This research investigates where AI can genuinely add value to supply chain management, how managers interact with AI‑supported tools, and what risks need to be actively managed to ensure responsible and effective adoption.

During the session, participants will hear early findings from complementary research streams focussed on:

• how AI tools can support decision‑making during disruptive scenarios, and
• what simulation studies reveal about supply chain behaviour under pressure.

The webinar is designed for supply chain managers, operational leaders and decision‑makers in advanced manufacturing. It focuses on practical implications rather than technical detail, helping participants reflect on how these insights could apply to their own context today, not at the end of a multi‑year research project.

Importantly, this session is part of a pilot study and is intentionally interactive. Attendees will be invited to share feedback, test assumptions, and help shape the next phase of the research, including the development of future tools, frameworks and funding applications. By participating, SMEs have a direct opportunity to influence how research outcomes are designed to support real‑world adoption.

If you are navigating supply chain risk, considering AI‑supported decision tools, or simply looking to make more confident decisions under pressure, this webinar offers a focused, one‑hour opportunity to engage with emerging research and contribute your perspective.