BAVARIAN RESEARCH ASSOCIATION FOR CUSTOMIZED DIGITAL ENGINEERING FOR BAVARIAN SMES USING THE EXAMPLE OF THE DRIVE TRAIN OF BATTERY ELECTRIC VEHICLES
SP1 Systematic implementation support of digital engineering for Bavarian companies
Field of work:Working Group Data Driven Methods
Before new methods can be integrated into the product development process of industrial companies, it is necessary to know the capabilities of these new methods and to identify a well-suited use case for an initial implementation. For the implementation of data-driven methods, the availability of a sufficient amount of data must also be guaranteed and it should be ensured that the industrial problem can be solved efficiently using data analysis methods. In industrial everyday life, new data-driven methods are often not used because either the existence of these new methods is not known, there are no trained employees, there is too little acceptance for new methods, or the data situation is not even sufficient for their use. Furthermore, projects with potential for the use of digital engineering methods in the respective company must first be identified.
This is where the first sub-project comes in. A systematic approach will be developed in order to take stock of concrete fields of application in the company and to determine the current status of the digital engineering methods integrated so far. SP 7 supports SP 1 by optimising the hedging management. Based on this, available methods (e.g. from current research or methods developed within the framework of the network) can be adapted and transferred to industrial application. This can be understood under the keyword "customization" of digital engineering methods.
The scientific challenge of this task is:
- the development of a systematic procedure for recording the current status in the participating companies and its generalization.
- the identification of potential use cases for digital engineering methods in the participating companies.
- the assignment of well-suited digital engineering methods to the identified use cases.
- the adaptation of existing digital engineering methods and, if necessary, the further development of existing methods.