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- W565941874 abstract "Abstract The conventional approach by Dr. Taguchi has been known as an off-line quality control to improve the performance of products or processes at low cost. Most previous Taguchi method applications have dealt only with static single-response problems. But in the recent years, the design has more complicated requirements; not only have more than one quality characteristic, but also deal in dynamic system. Therefore, several approaches dealing with multi-response problems have been increasingly reported. However, they have focused on the static system; the multi-response problems in dynamic system still have received only limited attention. This research proposes an approach using the genetic algorithm to find the best setting of the controllable factors, and outer orthogonal array to consider noises. The objective is to minimize the total average quality loss for the dynamic multi-response numerical experiment. In addition, to enhance the capability of the proposed approach, identifying the adjustment..." @default.
- W565941874 created "2016-06-24" @default.
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- W565941874 date "2009-01-01" @default.
- W565941874 modified "2023-09-26" @default.
- W565941874 title "Application of genetic algorithm to numerical experiment in robust parameter design for signal multi-response problem" @default.
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- W565941874 doi "https://doi.org/10.1080/17509653.2009.10671062" @default.
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