Beschreibung
Contract manufacturing companies have to calculate offer prices for individualized products in cost-driven markets with experience-based estimations on limited data. Especially, the estimation of processing and set-up times is time-consuming and challenging. Algorithms providingsuitable and transparent estimations with low configuration effort and licence costs for several machining processes are currently not available. Therefore, a method is developed to provide automated estimates for machining and set-up times from production data based on similarity metrics. This method is evaluated using feedback data from turned, milled and whirled workpieces. Experiments show that, compared to experiencebased methods, an accuracy increase of 7.8% is achievable for process time estimation of turned parts and 21.2% for set-up operations.
