Complex manufacturing processes require consideration of massive volumes of data, variables and constraints, supported by real-time decision making. With the widespread use of connected devices and sensors, the volume of data being collected dramatically increases. Cloud computing technologies store and process this data while highly sophisticated AI algorithms generate valuable insights for process improvements. Digitization also ensures a full genealogical database from raw material to end-product, guaranteeing the highest levels of quality and quality control.
Today’s manufacturing reality acknowledges the need to digitize by automatically collecting production-floor data and turning it into knowledge, for increased operational efficiencies. However, uncertainty still hovers over the practical and operational considerations of becoming a connected factory and leveraging the IIoT promise to achieve on-time, on-quality results, while increasing capacity and minimizing costs.
This workshop aims to encourage ‘Think big, Start small, Scale fast’, providing a simple-to-follow guide for helping organizations not only think-through how to scale their connected operations, but how to take that first step. Based on real-life case-studies, the presentation will demonstrate proven methods and benefits of the stages to implementing manufacturing optimization techniques, bringing production-floor real-time visibility, traceability and insights, identifying operational automating opportunities and driving efficiencies.
- Better define and sharpen your 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 your organization
- Learn how IoT applications can integrate with their current enterprise systems such as ERP and PLM
Significantly improving product quality and operational efficiencies is key in achieving Industry 4.0 manufacturing goals and remaining viable and competitive 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 workshop, 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.