Integrated Methods for Robust Production Planning and Control - Hagenberg
In SimGenOpt2, we pursue a new and complementary approach to exploit the potential savings in production planning. With the developed simulation generator SimGen at FH OÖ Steyr Campus, production processes which include planning and control of various companies can be modeled and analyzed holistically. The resulting digital model of the production company will be controlled, similarly to the real company, by the use of production planning methods such as Material Requirements Planning (MRP) and matched regarding the real and virtual key performance indicators.
However, the aforementioned planning methods require a multitude of parameters, for instance MRP requires 3 parameters per material and low-level code, which are critical for production efficiency. Due to the wide-spread use of these strategies, negative effects of bad parameterizations are noticeable, on the one hand in the higher operational planning effort of the individual departments to handle the increased burden of work, and on the other hand in worse inventory and service levels.
With the developed optimization environment HeuristicLab at FH OÖ Hagenberg Campus, these planning parameters will be improved regarding cost efficiency and service level through an integrated simulation-based optimization approach. A tradeoff between cost efficient and stable respectively robust parameters should be achieved. Insights into the evaluation of stability and robustness during the optimization run are obtained and new methods for optimization are developed. Additional insights are gained in terms of the potential savings’ extent arising out of the use of improved parameters. With the partners oxaion GmbH and Banner GmbH an exploitation partner and an end user support this endeavor.
FFG Produktion der Zukunft
Dieses Projekt wird im Rahmen des Programms Produktion der Zukunft durch das Bundesministerium für Verkehr, Innovation und Technologie gefördert.