Tag: Smart Supply Chain
Planning, purchasing, logistics and transport management are traditionally separate processes, typically located in different departments. The material planners determine how many parts production requires and order these from the supplier, considering safety stocks. The suppliers operate in their own systems, as does the transport service provider. What, when, in what quantity and at what time is to be delivered usually remains unclear until goods receipt. Read more
The current coronavirus pandemic poses enormous, unprecedented challenges for companies. Efficient risk management plays a central role in meeting these challenges. It is not so much a question of whether the current situation could have been anticipated and planned for. Rather, the focus is on how companies can now best protect their core processes and increase the resilience of their operations. Read more
The Corona pandemic took us all completely by surprise. Few people expected a “black-swan” event like this. And even the boldest risk scenarios have not foreseen or dealt with the scale of the problem we are currently experiencing.
Supply chains have been severely disrupted or even completely collapsed within a short period of time, especially in the automotive and aviation industries. If important suppliers stop producing, warehouses are not working and transports out of “red zones” are not possible, then production cannot be maintained, or only with great difficulty.
But not everything has come to a standstill. Where production is still going on, it is now particularly important to know what is happening during transport, how long are the waiting times at the borders, where are the restrictions and what time effects will this have on the delivery.
It’ s nothing new that considerations of optimization focus on excessive inventories and overly high planning or disposition costs. This is all the more true in tougher economic times.
This is where the new opportunities of digitization come in: the continuous provision of data from supplier production to transport logistics and even in-house intralogistics is no longer a vision of the future. Even minimizing process costs is now a reality thanks to automation. 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
Missing supplies, i.e. delayed, deficient, and completely absent deliveries, are a serious and recurring problem for companies. But what can you do? And how can you ensure that ordered goods actually arrive on time?
Smart Logistics Data – that is, the intelligent collection, enrichment, and usage of data relevant to the logistics process – promises relief.
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.
Nowadays, everyone is preaching that data is the new oil. But unlike oil, it’s not (just) the sheer output volume that matters here. What really counts is the efficient use of this data so as to draw the right conclusions in terms of the supply chain reliability. 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
A materials controller needs up-to-date information at all times for production planning purposes. He needs to know whether the goods required are going to arrive at the plant in time – and whether they will do so in an intact state, a very important point when it comes to sensitive components. And all this preferably in real time, of course. But this is a lot more than what most track-and-trace solutions have to offer. Read more