Response delay and predictive estimation of specifications for assemblies Online publication date: Tue, 21-Oct-2014
by Carlos Hernández; Rainer Tutsch
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 7, No. 2/3, 2014
Abstract: The application of a selective-adaptive technique like the statistical feed-forward control model (SFFCM) to assemble components might give rise to an undesired biased effect caused by the presence of either a response delay or an offset. The problem was approached by means of developing three different predictive models to estimate specification adjustments. With the help of a piece of software to simulate the production of lots of assemblies made of two components, sets of experiments were designed to quantify the influence of response delays and the effectiveness of the predictive models, which was measured in terms of the reduction of the mean shift and the standard deviation found in the resulting assemblies. Simulation results showed that whereas the predictive models helped reduce the average mean shift between 71% and 83%, the average standard deviation varied increased between 4% and 28%.
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