Nowadays, managing data is a major success factor for logistics companies. As logistics represents a key discipline for implementing Industry 4.0, it needs to become more even digital and data-driven than it is today. This involves effect for example by means of data science and machine learning, allowing logistics companies to optimise both their internal processes and their customers’ supply chain.
However, the data infrastructure of the logistics industry is characterised by a large number of local data ´islands´, making it difficult to integrate the data and create business value from it. As a result, a lot of potential in cross-company or collaborative processes in the supply chain cannot be leveraged.
The aim of the International Data Space (IDS) is the establishment of virtual space for the standardised, secure exchange and trade of data while keeping full sovereignty over it. For this purpose, a scalable and secure architecture, that is based on modern IT technologies, has been proposed. Because logistics creates and connectes global value chain, its need for standardized and secure infrastructure to exchange data is extraordinarily high.
Leveraging the Industrial Data Space for the logistics industry demands for a domain-specific instantiation that addresses the characteristics and complex nature of global supply chains and transportation networks. This is why a Logistics Community was founded, in the International Data Spaces Association. The community aims at adopting and extending the general concepts of the IDS to provide a specific implementation of a Logistics Data Space.
Quelle / Link: Challenges And Potentials Of A Logistics Data Space