Keynote – Data as the foundation stone for Digital Continuity across Engineering, Manufacturing and Services
Panel session 1 – Aligning the organisation – Change and Stakeholder Management and Communication
Discussion Host Introductions
Discussion Session 1
Keynote – Quality Control at the Edge
Automated manufacturing processes have been commonplace for many years. Quality control, however, has been an area that has traditionally remained in the realm of human operations. With customers demanding more customization in the manufacturing environment, product development cycles decreasing and refreshing more frequently; quality control effectiveness has become an increasing challenge for manufacturing. This is now changing. Automated collection of data and applying IoT methods in a manufacturing environment can help enable production efficiencies and improve production quality.
Coffee break and networking
Discussion Session 2
Discussion Session 3
Keynote – Artificial Intelligence Trends
AI has already made significant inroads into the manufacturing sector – from smart assembly robots and intelligent machine diagnostic tools, to automated warehousing, and a host of software solutions that assist in delivery logistics, inventory optimisation, and supply chain management. Vast sets of data can be analysed and acted upon within minutes, meaning the lengthy, complex, process-driven tasks that once took hours can now be performed almost instantaneously. What is more, as the technology improves and gets more embedded, manufacturing will become more efficient, pushing up profit margins, and reducing operating costs. So what is AI and what are the trends that business’ need to be aware of?
Keynote – Supply Chain Data Analytics: Opportunities and Early Lessons
Although predictive machine learning for supply chain data analytics has recently been reported as a significant area of investigation due to the rising popularity of the AI paradigm in industry, there is a distinct lack of case studies that showcase its application from a practical point of view. In this talk we will discuss data driven approaches to supply chain disruption management using various case studies, highlighting opportunities as well as potential pitfalls and early lessons.