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Optimization research is most directly applicable. Genetic algorithms are probably the most widely known. But in general, the problem involves doing pattern de
by pgroves 16y ago
Optimization research is most directly applicable. Genetic algorithms are probably the most widely known.
But in general, the problem involves doing pattern detection between possible designs and their quality metrics. When the whole thing is in software the designs can be verified ahead of time. For instance, you can create a language for designing airplane wings, and then the optimizer can generate potentially good designs, they can be verified to be manufacturable, and then they can be fed into a virtual wind tunnel to figure out if the design performs well. They can also be scored by things like weight and cost to manufacture. Let the optimizer iterate a few thousand times and you're really doing a machine learning problem where the blueprints and the quality metrics are the data set.
- VladRussian 16y agoyou didn't get the article. What you're saying requires [necessarily] common "virtual design studio" and/or at least very good communication channels between different participants. The article clearly mention that some subcontractors even didn't have their own engineering department. Be the task contained inside Boeing - there would at least be some "common workspace", though i'm not necessarily saying that it would be sufficient condition.
- pgroves 16y agothe virtual design studio you mention is precisely the system i wish the machine learning community was building.
- Terry_B 16y agoAs someone who has worked on the 787 and other large aircraft programs as an engineer and whose job it was to automate as much of the process as possible, I admire your line of thinking but I'm afraid reality is very different to what you have in mind. If aircraft were machined out of a single block of material into an ideal structure and didn't have a million systems on board, designed by thousands of people trying to cooperate together best they can, you might have a chance. GAs etc, are useful for small tasks here and there, but at the end of the day how the aircraft gets made and what goes wrong comes down to politics, people, communication, arcane processes and documents, money, time, regulations, rules of thumb etc etc etc
- spitfire 16y agoYou're a technologist, so you see the solution to all problems as technology. But the problem also could have been solved with good management and communication. Give employees the power to communicate and raise issues/questions.