Beyond robust design: an example of synergy between statistics and advanced engineering design

Abstract

Higher efficiency and effectiveness of Research & Development phases can be attained using advanced statistical methodologies. In this work statistical methodologies are combined with a deterministic approach to engineering design. In order to show the potentiality of such integration, a simple but effective example is presented. It concerns the problem of optimising the performance of a paper helicopter. The desgin of this simple device is not new in quality engineering literature and has been mainly used for educational purposes. Taking full advantage of fundamental engineering knowledge, an aerodynamic model is originally formulated in order to describe the fligh of the helicopter. Screening experiments were necessary to get first estimates of model parameters. Subsquently, deterministic evaluations based on this model were necessary to set up further experimental phases needed to search for a better design. Thanks to this integration of statistical and deterministic phases, a significant performance improvement is obtained. Moreover, the engineering knowledge turns out to be developed since an explanation of the “why” of better performances, although approximate, is achieved. The final design solution is robust in a broader sense, being both validated by experimental evidence and closely examined by engineering knoweldge.

Citation

Barone, S., Erto, P. and Lanzotti, A. (2002), "Beyond robust design: an example of synergy between statistics and advanced engineering design", Asian Journal on Quality, Vol. 3 No. 2, pp. 13-28. https://doi.org/10.1108/15982688200200015