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
Artificial intelligence is the topic of the hour. This was not any different at Bosch Connected World. Nearly 3,000 IoT enthusiasts talked about business models and innovations relating to the Internet of Things in Berlin on March 15 and 16, 2017. The top three topics were artificial intelligence, automation and openness. Read more
Many companies are determined to improve their use of information from individual internal and external IT systems as a way of meeting the challenges of a digital supply chain.
Traditionally, planning, procurement, logistics and transport management have been separate processes. Whereas material planners determine how many parts are needed for production during the manufacturing process and order them while keeping an eye on safety stocks, suppliers use their own systems as do the transport service providers. What is delivered when and in which quantity can usually not be determined until the goods receipt. Read more
As a branch of business analytics, predictive analytics is focused on making projections about relevant events in the future. Although not known by this particular term, the discipline itself has long been used to manage supply chains.
The VMI process is a good example of a long-standing predictive analytics approach. When regulating supply using VMI, the customer defines inventory thresholds that suppliers are not allowed to exceed or fall short of over the course of their deliveries. Read more
We are frequently approached by customers seeking a solution for transferring quality and production data generated by a supplier as part of the manufacturing and quality assurance processes. As an attachment to SupplyOn’s electronic delivery note, the so-called ASN (Advance Shipping Notification) is exactly what they are looking for. Following the transfer, structured electronic certificate data can be seamlessly processed, analyzed and saved. Read more