New information technology has meant that the production centers of many vehicle models have managed to incorporate a groundbreaking type of design where intelligent production makes work much faster and more productive. At Audi AG they have taken a step further, and the incorporation of new production systems has made the results surprising and they are already starting to think about the next long-term challenges, where sustainability and the proper use of resources will be at the forefront.
According to Gerd Walker, Head of Production and Logistics at AUDI AG: “Ewe are using digital technologies specifically for the benefit of our employees, while making the assembly process more flexible and making it more efficient.” In the case of the Audi Production Lab, the team of project manager Wolfgang Kern has focused on working on a modular assembly that will increase productivity by “up to 20% in some cases”. This flexible system provides Audi with greater workforce turnover and productivity systems.
Thanks to a virtual environment, the different design and equipment variants of a model can be examined quickly and efficiently in different environments and lighting conditions. With this type of technology, a tolerance check can be done, so in Audi they will be able to design a model according to the specifications from a constructive and qualitative point of view, where 3D simulations are important.
Virtual assembly planning not only saves material resources, but also enables innovative and flexible collaboration in different locations, and eliminates the need to build prototype. To complete this amazing resource, at Audi, they are configuring and designing together with NavVis the Spot robot, to be able to perform 3D scans in a more productive and effective way.
The energy consumed in a year at the Audi factory in Ingolstadt is equivalent to that used by the entire city. Data and its analysis are essential to save energy. The Energy Analytics tool, developed in-house by Audi, helps make manufacturing sustainable and to conserve resources: it allows to locate the peaks of energy consumption in manufacturing and during periods of non-production.