09/03/2020 | written by Mariapia Marchi Quality engineering based on the Taguchi robust optimization framework Defects, failures and, more in general, the poor quality of a product result in losses in users’ experience and consequent economical losses in the market. Quality engineering, a seminal robust optimization framework elaborated by the Japanese statistician and engineer Dr. Genichi Taguchi aims to tackle these shortcomings by predicting and preventing them.
06/09/2019 | written by Alexandre Mugnai Advancing ADAS testing with machine learning and optimization techniques ADAS (Advanced Driving Assistance Systems ) and AD (Autonomous Driving) systems are the next big frontier for automotive companies. The challenge lays in finding the right balance between minimizing the number of accidents and casualties while maximizing the comfort of traveling in complex conditions.
25/06/2019 | written by Roel Van De Velde Aerospace, tear down these walls The aircraft we board today are almost identical to the ones we boarded fifty years ago. Yes, they are quieter, more fuel-efficient and may make use of new materials, but in essence, nothing has changed. The latest iteration of a popular airliner has folding wingtips but the basic idea was first patented over 100 years ago. One could ask: Has the industry lost its mojo?
29/04/2019 | written by Carlo Poloni Key ingredients of effective decision making in the era of collaborative engineering Engineers of any specialization have always been used to make decisions on quantitative attributes and the same should happen today. However, the overwhelming availability of data coming from different sources either from numerical models, measurements or operational data logs may introduce the risk of losing control.
