There are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. One of the common approaches for optimization of multi-response problems is desirability function. In most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. Hence, in this paper a robust approach based ...

Rice is contaminated with pesticides applied in pre and post-harvest. These contaminations could be reduced through household operations like washing cooking. Therefore, the present research, a pre-soaking rice cooking method was used to reduce residues. Response Surface Methodology Central Composite Design minimize concentration by choosing best soaking time water:rice grain relation before A ...

A generic problem encountered in process improvement involves simultaneous optimization of multiple responses (so-called ‘critical response/output characteristics’). These types of problems are also referred to as ‘multiple response optimization (MRO) problems’. The primary goal of any process improvement initiative is to determine the best process operating conditions that simultaneously optim...

Response surface methodology is a common tool in optimizing processes. It mainly concerns situations when there is only one response of interest. However, many designed experiments often involve simultaneous optimization of several quality characteristics. This is called a Multiresponse Surface Optimization problem. A common approach in dealing with these problems is to apply desirability funct...