Aerospace manufacturing processes require consideration of massive and ever-growing volumes of data, variables and constraints, as well as real-time decision making.
Artificial Intelligence increasingly allows manufacturers the eminent ability to address this complexity: support shop floor staff and managers in daily decisions, increase throughput, reduce costs, meet strict quality and time-to-market requirements – all to remain profitable and competitive. However, as with any case of new technology adoption, challenges must be overcome, and best practices used.
This presentation will discuss major trends in this space, use real-life examples to demonstrate key AI terms and techniques, discuss the associated challenges and best practices to address them, all to capture the disruptive value AI can bring to today’s manufacturing world.
- Better define and sharpen their top strategic reasons for enterprise adoption of Industrial IoT, optimization technology and industry best practices
- Understand the main obstacles to adopting IoT in manufacturing and how to overcome them at their organization
- Learn how can IoT applications integrate with their current enterprise systems such as ERP and PLM
Why Is It Important?
Significantly improving product quality and operational efficiencies is key in achieving Industry 4.0 manufacturing goals and remaining a viable and competitive player in today’s dynamic and competitive market. The key levers to help achieve complete production floor digitalization and become a smart factory, is (a) intelligent management of critical shop-floor assets such as time sensitive raw-material, kits, molds, tools and workforce, and (b) sophisticated algorithms that are able to take the next step by raising context-aware alerts and recommendations to staff allowing not only greater visibility but also enhanced assets’ allocation and utilization for increased capacity and on-time, on-quality deliveries. Despite the unanimous consent about its necessity and importance, there’s a lot of vagueness and obscurity around the actual methods of obtaining the yearned-for goal of a digitized factory. In this presentation, we will scatter the fog around it so that participants will be able to learn the practical ways of how to achieve and de-facto implement such a system and stay ahead of the competition.