Robust Design

Design of a product so that its functionality varies minimally despite of disturbing factor influences.

4 Steps in Robust Parameter Design:

  • Problem Formulation
    This step consists of identifying the main function, developing the P-diagram, defining the ideal function and S/N ratio, and planning the experiments. The experiments involve changing the control, noise and signal factors systematically using orthogonal arrays.
  • Data Collection/Simulation
    The experiments may be conducted in hardware or through simulation. It is not necessary to have a full-scale model of the product for the purpose of experimentation. It is sufficient and more desirable to have an essential model of the product that adequately captures the design concept. Thus, the experiments can be done more economically.
  • Factor Effects Analysis
    The effects of the control factors are calculated in this step and the results are analyzed to select optimum setting of the control factors.
  • Prediction/Confirmation
    In order to validate the optimum conditions we predict the performance of the product design under baseline and optimum settings of the control factors. Then we perform confirmation experiments under these conditions and compare the results with the predictions. If the results of confirmation experiments agree with the predictions, then we implement the results. Otherwise, the above steps must be iterated.