ESTIMATING UNCERTAINTY OF SCALED PRODUCTS USING SIMILARITY RELATIONS AND LAWS OF GROWTH
This paper presents an approach to address size dependent uncertainty occurring in size range development. A brief introduction of handling estimated uncertainty using scenario based laws of growth is given. Monte Carlo simulation is used to determine the size dependency of stochastic uncertainty in size range products. The results of best- and worst case scenario laws of growth are compared to the results generated using the stochastic approach. Guidelines for the designer of how to face size-dependency of uncertainty are proposed.