Hannover Messe is the world’s leading industrial trade show. An event that is justified in its role as the “Home of Industrial Pioneers”. More than 215,000 visitors and around 6,500 exhibitors from all over the world attended the exhibition from April 1 to 5, 2019. This year’s motto: “Integrated Industry – Industrial Intelligence”. This key theme not only shaped the many facets of the hotly debated trade fair topics, but also represented the core of the innovative use case that SupplyOn presented there. Read more
Up until now, seamless, end-to-end good traceability has been more of a pipe dream than a reality. But there’s good news: thanks to the clustering of innovative Industry 4.0 technologies, comprehensive supply chain Track & Trace is now possible – also known as industrial traceability.
There are plenty of Track & Trace solutions (T&T) available. Logistics Service Providers (LSP) have been offering it as an add-on for years and several start-ups focus on this aspect, too. So it’s nothing new, right? Or is it? Read more
Track and trace, that is, determining the location of shipments, is definitely nothing new. Yet everyone still seems to be talking about it. How come?
Easy: We know that networked production as well as “smart factories” require reliable information on the delivery status of components. But this also translates to delivery logistics, where it’s important to know, for instance, where a spare part is located and whether it will reach its final destination on time or whether the parts will arrive at the assembly plant (CKD) as scheduled.
Sure, logistics service providers are already able to provide plenty of data regarding the location of a shipment – granted, not always in real-time, but still. Yet, how do we connect our systems with those of the logistics service providers? What do we do with the data? How can parts and status notifications be linked to each other without requiring an inordinate amount of effort and time from service providers and suppliers? How can we avoid having to enter data for different customers into individual custom portals? And how can all this data be analyzed effectively? Questions abound. Read more