Cloudification of Production Engineering for Predictive Digital Manufacturing

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Cloudification of Production Engineering for Predictive Digital Manufacturing

Supply chain and value network efficiency

General description

Optimisation challenges must be faced along the entire supply chain or value network, involving OEMs, components suppliers, service providers and SMEs. The transparency of customer requirements and value within the value chain is an important driver for optimisation.


Specifics for Project CloudiFacturing | Cloudification of Production Engineering for Predictive Digital Manufacturing

Description , enriching the manufacturing engineering process with on-line data, and simulating and optimizing the production process with the vision to support it in real-time.
Organisation University of applied sciences and arts of southern switzerland (SUPSI)
Comments Supply chain and value network efficiency Manufacturing performance characteristics Economic sustainability More efficient business processes Economic sustainability Manufacturing performance
 Optimizing efficiency of truck components manufacturing processes by data analytics Result title Optimizing efficiency of truck components manufacturing processes by data analytics Result description Moreover, the project will let more innovative and competitive technology suppliers, in particular SMEs, both on the level of ICT and on the level of manufacturing equipment, able to supply manufacturers
 Cloud-based modelling for improving resin infusion process Result comments Added Value Business model aspects "Thanks to the CloudiFacturing technology we can now take a look inside the VARTM process and switch our manufacturing process to a more safe, reliable
 Supply chain and value network efficiency Taxon title Supply chain and value network efficiency Taxon description Optimisation challenges must be faced along the entire supply chain or value network, involving OEMs, components suppliers, service providers and SMEs.