BAVARIAN RESEARCH ASSOCIATION FLEXIBLE TOOLS
C2: Automated quality control in body-in-white production using fault models
Quality control in chain production processes represent an important factor in maintaining high availability of the production facility and reducing down-time and process readjustment costs, if efficiently designed and implemented. Acknowledging the trend towards integrated and intelligent quality control and the time-critical fault diagnosis process, this project deals with the issue of preventive, inline product quality control. The goal is to construct a framework for model-based closed loop quality control of a complicated multi-stage production process. The framework should be able to perform the typical fault diagnosis and elimination tasks in an automated fashion. Points of research include algorithms for the analysis of measured values, fault model structure, decision making and interfacing the results to the process engineer or directly to the process parameters. This sequence is to be automated in a software based solution that combines mathematical and hybrid artificial intelligence methods to formulate submodels tackling individual tasks. The framework is to be developed and tested using a case study from the automotive industry assembly processes.