عنوان مقاله [English]
Response Surface Methodology is used to optimize the parameters of a process when the function that describes it is not known
and the experimenter wants to find the optimal solution of process input variables by RSM.
In some cases, there is more than one response and it is necessary to optimize them simultaneously. But the experimenter always knows about producer requirements (such as standards, objectives, etc.) and customer need can be another response in multiresponse surface problems. High technology industry, with more competitiveness, must continuously improve multiple correlated product qualitycharacteristics and the consumer must assess them.
This paper extends the ideas of a multiresponse surface to the tracking of dynamic optimization, with respect to customer response. Indeed, this study presents a new approach to formulate multiple response customer voice (by using Conjoint Analysis) and other responses and, also, by solving the correlated responses using a metaheuristic optimization method. The proposed procedure is illustrated with an experiment from the literature.