Finally a feasible and scalable digitization solution for industry 4.0
One is almost tempted to twist the eyes and simple go on mute it whenever one hears the terms “Industry 4.0”, “Internet of Things” and “digitization” as repeatedly as they are mentioned in media and technical discussions. Much has been and is being said and written about it. However, we are finally seeing very practical developments in our industry. Read more
Transport damages to goods, delays in delivery, poor delivery reliability: These are three typical use cases in which Smart Logistics Data helps to identify and counter risks well in advance. Read more
In an interview at the end of last year, SupplyOn Group blockchain expert Ralf Knobloch spoke about the potential offered by blockchain technology in the area of supply chain management. This time we talked to him about the criteria he uses to carry out an advance assessment regarding the suitability and cost-effectiveness of a possible blockchain use case. Read more
Ralf Knobloch, the SupplyOn Group’s blockchain expert, has been involved with distributed ledger technology since 2013. As the founder of the “Blockchain Meet-Up Saxony”, he is a great believer in regular dialog between research, science, users and society. We spoke to him about the impact of the new technology and about concrete use cases in supply chain management beyond the blockchain hype. Read more
A supply chain has to be agile, robust and resilient. Capable of anticipating potential risks and responding in advance, detecting problems early on and flexibly circumventing them.
All this requires the intelligent use of data. But how can we really make data “smart”? Read more
Blockchain has been THE trending technology for quite some time now. Hardly a day goes by without new use cases, initiatives, or companies established based on blockchain technology. It is especially promising in the supply-chain environment. But let’s take a step back and take a more sober look at the blockchain hype: What are the odds of a real technological revolution, and where are the potentials for the supply chain? Read more
A leading aerospace supplier has further optimized its inbound supply chain with SupplyOn. As part of an innovative industry 4.0 project, sensor tracking was used to implement the real-time monitoring of deliveries. This not only aims at continuously determining location, but also the early detection of quality defects during transport due to excessive temperatures or moisture. 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
Often when someone thinks about software engineering, he gets the recommendation to slice the elephant. E.g., you want to design a nice e-commerce pet shop, you need to cut it into individual slices.
But for me, slicing the elephant sounds quite strange: An elephant in slices is still difficult to handle – even then those slices would be quite large (even if they are smaller than the original elephant). Moreover, the slices belong only to that specific elephant.
Up to now, analytics has been used primarily in customer and sales analysis. But its range is expanding: Companies are now increasingly applying analytics to operative processes as well.
Why? Read more