Gestamp, a highly esteemed expert in metal automotive components, is making significant strides in the industry through its focus on industry 4.0 strategies and the integration of digital networks and AI across its supply chain. Under the leadership of Diego Mallada, chief information officer for digitalisation, the company has strategically prioritised the development of federated networks and a strong emphasis on superior data quality, which has redefined automotive supply chain management.
Gestamp’s innovative approach to supply chain management has transformed the concept of connectivity and data management. The company’s development of ‘the federated network’ is a prime example of this. According to Diego Mallada, this approach revolves around the creation of global communities, enabling experts from diverse technological areas to contribute without the constraints of geographical boundaries. It signifies a global collaboration in automotive supply chains, which marks a significant departure from traditional views on connectivity and data management.
The establishment of a global federated network has allowed Gestamp to promote global collaboration and reskilling across its operative regions. Participation in projects such as the Catena-X project also reflects the company’s commitment to exchanging data in a trusted and secure manner, emphasising the importance of collaboration and enhancing systems and individuals.
In addition to developing innovative network structures, Gestamp has also placed strong emphasis on data quality and standardisation across its logistics data. Mallada highlights the significance of achieving semantic homogeneity across different layers, which requires collaborative efforts of industrial experts and data governance to ensure seamless integration and connectivity of all data components.
Furthermore, the company has been working on creating a global “lake house” for supply chain data, which enhances data integration and visibility across the supply chain. This model facilitates internal and external data exchange and holds the potential for end-to-end supply chain control, contributing to a streamlined data environment and robust data governance and security.
Gestamp’s use of AI for supply chain optimisation and decision-making has further enhanced its industry 4.0 strategies. Mallada stresses the importance of AI algorithms and machine learning operations, highlighting their role in data preparation and quality control, as well as the development of AI models and algorithms that can facilitate information exchange and knowledge transfer across different plants.
Looking to the future, Mallada emphasizes the dynamic nature of the federated ecosystem and the need for continuous improvement and data exchange to drive internal, external, and global improvements. The company is continuing to develop new use-cases for projects such as Catena-X, further demonstrating its commitment to advancing the industry and embracing digitalisation.
In conclusion, Gestamp’s pioneering approaches to supply chain management are setting a new standard for the automotive industry. With a strong focus on data quality, standardisation, and leveraging digital networks and AI technologies, the company is effectively redefining industry 4.0 strategies and reshaping the future of automotive supply chain management.
To learn more about Gestamp’s digitalisation strategies, you can watch the complete video interview of Diego Mallada, IT digital technology director from Gestamp, in conversation with Automotive Logistics chief content officer, Christopher Ludwig. Additionally, you can find more highlights from Automotive Logistics and Supply Chain 2023, which took place in Munich, and look forward to the upcoming Automotive Logistics and Supply Chain North America in Nashville, and Automotive Logistics and Supply Chain Europe conference in Munich later this year.
+ There are no comments
Add yours