id: 02066862
dt: j
an: 02066862
au: Tong, Lee-Ing; Wang, Chung-Ho; Chen, Chih-Chien; Chen, Chun-Tzu
ti: Dynamic multiple responses by ideal solution analysis.
so: Eur. J. Oper. Res. 156, No. 2, 433-444 (2004).
py: 2004
pu: Elsevier Science B.V.(North-Holland), Amsterdam
la: EN
cc: 
ut: Optimization; Dynamic multiple responses; Principal; component analysis;
    TOPSIS; Taguchi method; Multiple attribute decision-making
ci: 
li: doi:10.1016/S0377-2217(03)00017-1
ab: Summary: High technology industry must continuously improve product quality
    and multiple correlated product quality characteristics must be
    assessed simultaneously due to product complexity. While many Taguchi
    method applications have addressed a state system problem, dynamic
    multi-response problems have seldom been examined. This study presents
    a novel optimization procedure for dynamic multiple responses based on
    Taguchi’s parameter design. The signal to noise (SN) ratio and system
    sensitivity are used to assess the performance of each response.
    Principal component analysis is then performed on the SN values and
    system sensitivity values to obtain a set of uncorrelated components.
    The optimization direction for each component is also determined based
    on the corresponding variation mode chart. Finally, the relative
    closeness to the ideal solution resulting from the technique for order
    preference by similarity to ideal solution is determined as an overall
    performance index for multiple responses. A case study obtained from
    biological reduction of an ethyl acetoacetate process demonstrates the
    effectiveness of the proposed procedure.
rv: