TY - GEN
T1 - Optimal trial number for D-optimal designs based on efficiency-cost ratio analysis
AU - Liu, Xiu Ting
AU - Lin, Sen
AU - Yang, Jun
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - In engineering experiments, the more trial times are not always the better, especially for high-cost and long-period ones. But in practice, the trial number usually only depends on the design efficiency without considering the cost of an experiment, which may cause unnecessary waste. So, the optimal trial number of D-optimal design is investigated in this paper. Based on efficiency-cost ratio (E-C ratio) and considering the G-efficiency, a determination method for the optimal trial number of D-optimal design is given. The proposed method is applied to the cutting process of aluminum alloy thin-walled workpiece, and the results show the effectiveness of the proposed method.
AB - In engineering experiments, the more trial times are not always the better, especially for high-cost and long-period ones. But in practice, the trial number usually only depends on the design efficiency without considering the cost of an experiment, which may cause unnecessary waste. So, the optimal trial number of D-optimal design is investigated in this paper. Based on efficiency-cost ratio (E-C ratio) and considering the G-efficiency, a determination method for the optimal trial number of D-optimal design is given. The proposed method is applied to the cutting process of aluminum alloy thin-walled workpiece, and the results show the effectiveness of the proposed method.
KW - Aluminum alloy thin-walled workpiece
KW - D-optimal design
KW - efficient-cost ratio
KW - G-efficiency
KW - Optimal trial number
UR - https://www.scopus.com/pages/publications/84988288804
U2 - 10.1109/IEEM.2014.7058599
DO - 10.1109/IEEM.2014.7058599
M3 - 会议稿件
AN - SCOPUS:84988288804
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 54
EP - 58
BT - IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Y2 - 9 December 2014 through 12 December 2014
ER -