2002•Quality EngineeringRequires access

Development of Priority-Based Robust Design

Young Jin Kim, Byung Rae Cho

Open publisher page 77 citations

Abstract

Among the engineering design methods currently studied in the engineering design community, researchers often identify robust design as one of the most important fields for the purpose of quality improvement. Although the notion of robust design is clearly important, the use of Taguchi's signal-to-noise ratios and crossed arrays to capture variability has been a subject of controversy. As a natural alternative, a response surface approach to robust design has drawn much attention recently. This article first investigates the robust design models based on response surface approach and then proposes a priority-based robust design model to better reflect an engineer's point of view at the early product design stage. Discussions are made and numerical optimizations are performed for the purpose of comparative studies.

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What this paper is about

Among the engineering design methods currently studied in the engineering design community, researchers often identify robust design as one of the most important fields for the purpose of quality improvement. Although the notion of robust design is clearly important, the use of Taguchi's signal-to-noise ratios and crossed arrays to capture variability has been a subject of controversy. As a natural alternative, a response surface approach to robust design has drawn much attention recently. This article first investigates the robust design models based on response surface approach and then proposes a priority-based robust design model to better reflect an engineer's point of view at the early product design stage. Discussions are made and numerical optimizations are performed for the purpose of comparative studies.

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OpenAlex reports 77 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Among the engineering design methods currently studied in the engineering design community, researchers often identify robust design as one of the most important fields for the purpose of quality improvement. Although the notion of robust design is clearly important, the use of Taguchi's signal-to-noise ratios and crossed arrays to capture variability has been a subject of controversy. As a natural alternative, a response surface approach to robust design has drawn much attention recently. This article first investigates the robust design models based on response surface approach and then proposes a priority-based robust design model to better reflect an engineer's point of view at the early product design stage. Discussions are made and numerical optimizations are performed for the purpose of comparative studies.

Key concepts: Taguchi methods, Product design, Industrial engineering, New product development, Quality (philosophy), Engineering, Probabilistic design, Computer science

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