Data-Mining-Based Generation of Assembly Work Plans to Accelerate Product Emergence Processes

Speaker: Dr. Regina Wallis, Daimler

The application of digital assembly planning tools leads to a large amount of data documenting product development and assembly planning results along the product emergence process. The reuse and adaptation of existing planning data can accelerate future planning processes. The presented approach uses data mining techniques to generate a suitable assembly work plan from existing planning data as a starting point for a new assembly planning task. Classification and clustering techniques are applied to both product and process data in order to identify their correlations.

Dr. Regina Wallis, Daimler

Strategic Series Management

Dr. Regina Wallis studied industrial engineering in a double degree program at Karlsruhe Institute of Technology (KIT), Germany, and Grenoble INP, France. She obtained her doctorate “Data-Mining-Based Generation of Assembly Process Plans in the Digital Factory” in cooperation with the department of Digital Planning Methods at Daimler Trucks. Currently she works as a project coordinator in the Strategic Series Management at Daimler AG.