A Study on Securing Multiple Quality Requirements of New Product Using Screening Design with a Case Study

Abstract

For product or process design and development, it is common to optimize multiple responses (characteristics) based on experimental data. To determine optimal conditions, we need to design the experiment, estimate a proper model for each response, and optimize the multiple responses simultaneously. There are several techniques and many research results on optimizing multiple responses simultaneously, when the experimental data are available. However, the experimental design issue for optimizing multiple responses has not been discussed yet. This paper proposes some idea on how to plan screening design when requirements for multiple performance characteristics are to be met in developing new products. A screening design procedure is developed for securing the requirements of multiple responses. Initial design factors are classified into three categories; specific, non-conflicting common, and conflicting common. After screening experiments, follow-up design region search method is suggested with respect to the most unsatisfied or important response, or overall desirability. A case study on a synthesis of melamine formaldehyde resin is presented to illustrate the procedure and to show the validity of the approach. †

A method of steepest ascent for multiresponse surface optimization using a desirability function method

“…In this section, the proposed MSAM is illustrated in an example from the chemical industry. The synthesis of melamine formaldehyde resin problem was originally presented in the work of Byun et al 14 Melamine formaldehyde resin has high surface hardness, good electrical properties, and excellent wear, chemical, and water resistance. Because of these advantages, melamine resins are widely used in the manufacture of adhesives, paints, and dinnerware.…”