Workshop Theme
AI-Enabled Digital Manufacturing for Agile and Resilient Supply Chains
Advanced manufacturing is being reshaped by the fusion of human insights and transformative technologies, led by Artificial Intelligence (AI) and Additive Manufacturing (AM). This one-day workshop is designed for industry professionals, practitioners, researchers, and decision-makers seeking to participate in discussions with both experts and peers and potentially gain insights on how some of these technologies are being deployed in transforming advanced manufacturing and supply chain operations. The workshop will explore how technologies including predictive analytics, machine learning, digital twins, intelligent automation, and real-time data integration can help organizations improve operational agility, strengthen resilience, and respond more effectively to disruptions. It also examines how interoperability and secured digital infrastructure are enabling workflows from design to production.
In parallel, the workshop would also have discussions about the critical challenges of digital infrastructure in manufacturing, including cybersecurity risks, design-to-production workflows, governance frameworks, and ethical considerations, associated with deploying new technologies like AI in advanced manufacturing environments. Through expert talks, practical use cases, and interactive discussions, participants will leave with a forward-looking perspective on emerging standards, best practices, and innovation pathways shaping the next generation of manufacturing systems in their own organizations.
What You’ll Gain
- A clear understanding of how new technologies like AI and AM is reshaping advanced manufacturing and supply chains
- Insights into building more agile and resilient manufacturing and supply chain operations and planning through data-driven digital architecture
- Exposure to practical applications of AI, including predictive maintenance, demand forecasting, quality control, and production optimization
- Knowledge of key digital enablers for advanced manufacturing such as digital twins, digital inventory, intelligent automation, and real-time analytics
- Awareness of emerging trends, challenges, and opportunities in AI-enabled digital manufacturing ecosystems
- Practical perspectives from real-world case studies and industry examples
- Guidance on implementation strategies, organizational readiness, and capability development
- Understanding of workforce transformation, including upskilling, cross-skilling, and re-skilling needs to train an AI-informed digital manufacturing workforce
- Opportunities to exchange ideas with experts, peers, and stakeholders working in manufacturing and supply chain

