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http://dx.doi.org/10.7232/JKIIE.2017.43.2.127

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

Byun, Jai-Hyun (Department of Industrial and Systems Engineering and Engineering Research Institute Gyeongsang National University)
Lee, Ki-Chang (Department of Materials Science and Engineering and Engineering Research Institute Gyeongsang National University)
Suh, Pan Seok (Research and Business Development Team, Dong Sung Chemical)
Kwak, Kyung-Hwan (PPG Research Team, Kumho Petrochemical R&BD Center)
Jang, Sung Il (Research and Business Development Team, Dong Sung Chemical)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.43, no.2, 2017 , pp. 127-134 More about this Journal
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.
Keywords
Design of Experiments; New Product Development; Multiple Responses; Screening Design; Common Factors; Specific Factors; Follow-Up Experiment;
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