Sheet metal assembly is investment intense. Therefore, the equipment needs to be efficiently utilized. The balancing of welds has a significant influence on achievable production rate and equipment utilization. Robot line balancing is a complex problem, where each weld is to be assigned to a specific station and robot, such that line cycle time is minimized. Industrial robot line balancing has been manually conducted in computer aided engineering (CAE)-tools based on experience and trial and error rather than mathematical methods. However, recently an automatic method for robot line balancing was proposed by the authors. To reduce robot coordination cycle time losses, this method requires identical reach ability of all line stations. This limits applicability considerably since in most industrial lines, reach ability differs over the stations to further line reach ability and flexibility. Therefore, in this work we propose a novel generalized simulation-based method for automatic robot line balancing that allows any robot positioning. It reduces the need for robot coordination significantly by spatially separating the robot weld work loads. The proposed method is furthermore successfully demonstrated on automotive stud welding lines, with line cycle times lower than that of the corresponding running production programs. Moreover, algorithm central processing unit (CPU)-times are mere fractions of the lead times of existing CAE-tools.
This work was supported by the Swedish Governmental Agency for Innovation Systems, VINNOVA through the FFI Sustainable Production Technology Program, the Wingquist Laboratory VINN Excellence Centre at Chalmers, and by Volvo Car Corporation. This work is part of the Sustainable Production Initiative and the Production Area of Advance at Chalmers University of Technology. The authors furthermore wish to acknowledge the support of Dr. Robert Bohlin and Domenico Spensieri of the Fraunhofer Chalmers Research Centre.
Authors and Affiliations
- J. Segeborn, Volvo Car Corporation
- D. Segerdahl, Fraunhofer-Chalmers Research Centre
- F. Ekstedt, Fraunhofer-Chalmers Research Centre
- J. S. Carlson, Fraunhofer-Chalmers Research Centre
- M. Andersson, Volvo Car Corporation
- A. Carlsson, Volvo Car Corporation
- R. Söderberg, Chalmers University of Technology, Department of Product and Production Development