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DIAZI

Digitisation of the Industrialisation processes in the Automotive and Supplier Industry

Sub-Project

Data Analysis and Simulation for Decision Support in Planning, Ramp Up and Operation of Multi-Use Production Lines.

About the Project

The project DIAZI aims to design an efficient and predictive digital production system for the automotive and supplier industry to meet the rising demand, by controlling waste and energy demand. This can be achieved by further development and standardisation of existing solutions, tools and architectures. The increasing demands for flexibility in manufacturing can only be served through the use of intelligent products, production facilities and the availability of real-time data. The big challenge here is to transform the existing structures, architectures and conditions in such a way that complete digitisation of production takes place.

DIAZI

Project Information

BMWK

Funding: 01/2022 – 12/2025, Federal Ministry for Economic Affairs and Climate Action (BMWK)

Project Partners

  • Continental Automotive Technologies GmbH
  • DUALIS GmbH IT Solution
  • IFOX Systems GmbH
  • plus10 GmbH
  • SUSE Software Solutions Germany GmbH
  • HAW Landshut (HAWLA), Institute for Data and Process Science
  • NaiSE GmbH

Role of the Institute of Machine Tools and Production Technology (IWF)

In this sub-project, the IWF is initially focusing on data acquisition and structuring, which forms the basis for further analyses and the identification of suitable assistance systems. Furthermore, suitable line and production planning strategies are derived with the help of an agent-based process chain simulation. Finally, a data-based process optimisation takes place for various process steps at different locations of the company “Continental Automotive Technologies GmbH”. The focus is on injection moulding, among other things, for which a CAE process simulation and an AI-based surrogate model are being built. The findings from the various models are finally processed in dashboards, so that the findings can be relevant stakeholders in production.

Team

Dr. André Hürkamp
+49 531 391 - 65044
a.huerkamp(at)tu-braunschweig.de
Mohammad Mojaddarasil
m.mojaddarasil(at)tu-braunschweig.de
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