(A) study of the model that taguchi's 2-step optimization is possible = Taguchi의 2-step optimization이 가능한 모델에 관한 연구

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In parameter design, Taguchi``s stated objective is to find the settings of product or process design parameters that minimize expected quadratic loss -that is, the expected squared deviation of the response from its target value. Yet, in practice, to choose the settings of design parameters he maximizes a set of measures called signal-to-noise (SN) ratios. In general, he gives no connection between these two optimization problems, but using the concept of a performance measure independent of adjustment (PerMIA), Le$\acoute{o}$n et al. (1987) showed that for certain underlying models for the product or process response maximization of the signal-to-noise ratio led to minimization of expected quadratic loss. In this paper the possibility of Taguchi``s 2-step optimization is defined and it will be shown that the expected loss function is minimized if Taguchi``s 2-step optimization is possible. Furthermore, the necessary and sufficient condition for the possibility of Taguchi``s 2-step optimization will be introduced. From this result, the constants for the underlying models of Le$\acoute{o}$n et al. can be weaken.
Advisors
Kim, Byung-Chunresearcher김병천researcher
Description
한국과학기술원 : 응용수학과,
Publisher
한국과학기술원
Issue Date
1990
Identifier
67131/325007 / 000881057
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 응용수학과, 1990.2, [ [ii], 23, [2] p. ; ]

URI
http://hdl.handle.net/10203/42329
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=67131&flag=dissertation
Appears in Collection
MA-Theses_Master(석사논문)
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