2004Journal of Engineering GraphicsRequires access

A Mixed Integer Planning Model for House of Quality Optimization

Mingshun Yang

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Abstract

During using QFD (Quality Function Deployment) to make decision on product planning, it is the ultimate aim to make technical features of product maximally satisfying customer requirements to guide the product development based on the information offered by HoQ (House of Quality). But most of the existing models couldnt directly give the target values, and didnt consider the discrete type technical features separately but treat them in the same way as continuous type, which cannot reflect the real status of situation. In the article, taking advantage of the information in HoQ fully and separating discrete type technical features from continuous ones, a mixed integer planning model for HoQ optimization is presented, and an example is given.

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What this paper is about

During using QFD (Quality Function Deployment) to make decision on product planning, it is the ultimate aim to make technical features of product maximally satisfying customer requirements to guide the product development based on the information offered by HoQ (House of Quality). But most of the existing models couldnt directly give the target values, and didnt consider the discrete type technical features separately but treat them in the same way as continuous type, which cannot reflect the real status of situation. In the article, taking advantage of the information in HoQ fully and separating discrete type technical features from continuous ones, a mixed integer planning model for HoQ optimization is presented, and an example is given.

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Available abstract

During using QFD (Quality Function Deployment) to make decision on product planning, it is the ultimate aim to make technical features of product maximally satisfying customer requirements to guide the product development based on the information offered by HoQ (House of Quality). But most of the existing models couldnt directly give the target values, and didnt consider the discrete type technical features separately but treat them in the same way as continuous type, which cannot reflect the real status of situation. In the article, taking advantage of the information in HoQ fully and separating discrete type technical features from continuous ones, a mixed integer planning model for HoQ optimization is presented, and an example is given.

Key concepts: House of Quality, Quality function deployment, Integer (computer science), Product planning, Quality (philosophy), Product (mathematics), Computer science, Function (biology)

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