<p>Even though there are remarkable advances in machinery and technological methodologies toward products robustness and precise operations on processes, engineers always address difficulties in setting a process at desirable conditions. Actually, due to the nature of the destructive characteristics of products and processes they might not be able to cope with the issue. Aforementioned traits create constraints against direct measurement. Consequently, surrogate variables are proposed to go through the obstacle. Since sources of deviations are easy to affect as noise factors, experts are required to ameliorate skillfully. Multiple quality characteristics are contemplated simultaneously in different industries such as pharmaceutical, food sections or productions for improving both product reliability and customer satisfaction. In order to overcome the expressed problems and facilitate the processes, a model is constructed through robust design concepts and a case study shows how to surmount the problem of working with different destructive quality characteristics at the same time by using Six Sigma methodology.</p>
Robust Design using Desirability Function to the Combined-Array with Multiple Quality Characteristics
