2002Asian Journal on QualityRequires access

Integration of Design of Experiments into Quality Function Deployment

Jing Sheng, Zhen He, Xing Shi

Open publisher page 6 citations

Abstract

Quality Functioni Deployment (QFD) is a useful planning process in new product development. It achieves the maximum custom satisfaction through translating Voice of the Customer (VOC) into voice of the engineer in the House of Quality (HOQ), and ensures the customer focus from house to house translation. In QFD, the relationship matrix and correlation matrix are important pars, which will influence the final priorities of the technical response. According to the traditional methods, these matrices are determined by the people’s experience and filled with ordinal numbers. It would inevitably result in inaccuracy and curtness. Design of Experiments (DOE) is employed to determine the effect of variables on the process. In this paper, the author puts forward the idea of integrating DOE into the process of QFD. This integration helps to produce scientific decision and robust product design. A famework on QFD/DOE is presented and explanations are also made.

About this research paper

What this paper is about

Quality Functioni Deployment (QFD) is a useful planning process in new product development. It achieves the maximum custom satisfaction through translating Voice of the Customer (VOC) into voice of the engineer in the House of Quality (HOQ), and ensures the customer focus from house to house translation. In QFD, the relationship matrix and correlation matrix are important pars, which will influence the final priorities of the technical response. According to the traditional methods, these matrices are determined by the people’s experience and filled with ordinal numbers. It would inevitably result in inaccuracy and curtness. Design of Experiments (DOE) is employed to determine the effect of variables on the process. In this paper, the author puts forward the idea of integrating DOE into the process of QFD. This integration helps to produce scientific decision and robust product design. A famework on QFD/DOE is presented and explanations are also made.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Quality Functioni Deployment (QFD) is a useful planning process in new product development. It achieves the maximum custom satisfaction through translating Voice of the Customer (VOC) into voice of the engineer in the House of Quality (HOQ), and ensures the customer focus from house to house translation. In QFD, the relationship matrix and correlation matrix are important pars, which will influence the final priorities of the technical response. According to the traditional methods, these matrices are determined by the people’s experience and filled with ordinal numbers. It would inevitably result in inaccuracy and curtness. Design of Experiments (DOE) is employed to determine the effect of variables on the process. In this paper, the author puts forward the idea of integrating DOE into the process of QFD. This integration helps to produce scientific decision and robust product design. A famework on QFD/DOE is presented and explanations are also made.

Key concepts: Quality function deployment, House of Quality, Computer science, Voice of the customer, Quality (philosophy), Product (mathematics), Process (computing), Product design

Related papers

Back to paper searchBrowse research topicsOriginal source
Integration of Design of Experiments into Quality Function Deployment — Research Paper | ScholarLens