The FASTEN Thyssenkrupp Use Case Experiment is conceived to address the technological challenge of designing an integrated manufacturing and logistics system into a tangible solution. Maintenance services, spare parts lead-time, manufacturing, and inventory costs can be enhanced by incorporating Internet of Things (IoT) technologies in a digital end-to-end value stream, supported by analytical decision-making approaches. Along with that, an advanced additive
manufacturing and robotic technologies allow flexible integration among production, logistics, and material handling processes.

FASTEN embraces the challenge of implementing a Smart Robotic Additive Manufacturing Network (SMMR), improving the production and logistics of spare parts trough a decentralize manufacturing network. The Thyssenkrupp's use case is described by a set o FASTEN-driven systems that integrate a Smart Robotic Additive Manufacturing (SRAM) Unit composed of 3D printers and a Mobile Manipulator Robot (MMR) with the ThyssenKrupp maintenance operation process, aiming to provide flexibility, scalability, and agility to cope with spare parts demand. The experiments demonstrate a set of Optimization, Simulation, and Predictive tools, not only capable of designing an optimal manufacturing network system configuration and spare parts production schedule but also perform these goals through real-time monitoring systems, improving responsiveness and supporting decision making.



Relevance for Cloudscape Brazil 2018: 

Promote and speed up the adoption of Industry 4.0 in industry and academia, fostered by additive manufacturing and IoT solutions.


Authors: Miguel Gomes Xavier, PUCRS