An Improved Grey Incidence Analysis for Robust Designs with Nonlinear Multi-response Dynamic Characteristics
Robust design is an important method to reduce variation and to improve the performance of products or processes including static and dynamic quality characteristics. In the past, researchers focused on the static and linear dynamic quality characteristics. Recently, several researchers have begun to study robust design problems of nonlinear dynamic multiple responses. In this work an improved degree of grey incidence has be introduced in the proposed approach for resolving dynamic nonlinear multiple response problem. In view of comparability and/or appropinquity respectively, the similitude degree and the close degree of grey incidence are proposed to measure the similar degree and the close degree within response sequence and the ideal target sequence, and then decide the optimal factor levels by choosing the maximum similitude degree of grey incidence. Combined with the optimal factor levels by choosing the maximum close degree of grey incidence, the final optimal factor settings can be obtained. An example from the literature is illustrated to confirm the effectiveness of the proposed approach.
Zhong Xiao-fang Liu Si-feng
School of Economics & Management Nanjing Univ. of Aeronautics and Astronautics Nanjing, 210016, Chin School of Economics & Management Nanjing Univ. of Science and Tech., Nanjing, 210094
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
12-17
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）