A Study On Optimal Design And Robust Design For Complex Multiple Response Problems

In the product or process design it often meets with a common problem, how tochoose the ideal parameter level,that includes considering many kinds ofcharacteristic of the response, called response surface problem.Although in thepractical life much response surface problem is very important, optimization plan androbustness of the development also have been some attention.This paper discusses thepresent more complex response, the correlation between the response of thecomplicated problem robustness design optimization method is analyzed andsummarized, we investigate some more complex response optimization technologyand robustness design, compares the advantages and disadvantages of variousmethods, and consider the optimization method robustness, and satisfaction functionmethod and so on, and its optimization. Research results show that the optimizationrobustness satisfaction function method can very good balance of more complex thanthe optimization of the response and robustness problems, could be a solution to themodern industrial products only consider optimization ignore stability and led to "therecall door "constantly.This paper makes a study of the more complex response optimized design ofrobustness problems and their solutions. More complex than response optimizationdesign problem is robustness for continuous quality improvement of an importantquestion, in product design and development in the process of start at the beginning ofthe implementation, can effectively improve the quality of products, save costs andreduce social quality loss, etc. The traditional complex much response of theoptimization design robustness, mainly focus on a single response of the problem, ormany into single response of the response to solve problems, with the quality of theproducts of the various characteristics of complicated relationship, the traditionalabout more complex than the response optimization method has not very goodsolution. How to have more quality characteristics of the values of the product orprocess robustness design optimization, also it is much response robustness designoptimization, become a problem to be solved. Dennis-Lin and south Korean scholars put forward the great Kim commonminimization solution to the many existing method can solve the problem. This paperalso analyzes the merit and the existing problems.