Masters Theses


"Quality Function Deployment (QFD), one of the major quality systems, has been applied to develop numerous products, including software systems, to improve their quality. Target setting is a complicated and important task in product development using Quality Function Deployment (QFD). The targets are extremely important since they directly affect customer satisfaction. We need to develop methods of setting target values of engineering attributes based on their technical trend to achieve the quality goals in terms of satisfaction of customer requirements for a given timeframe so that by the time of completion of a project the values of technical attributes are competitive.

In this report, we first discuss the existing methodology of benchmarking, primitive linear regression and target setting based on impact analysis to set targets in Quality Function Deployment. We utilize both linear and non-linear regression in our impact analysis methodology, which certainly improves the existing quantitative methods, which are based only on linear regression. We further develop a method of target setting by incorporating the technical trend and time. It can help us to assess impact of both under-achieved and over-achieved targets. By incorporating the market trend and the time of delivery of the product into target setting process, we can set targets that provide a competitive edge for our product over the competitor’s products and a high level of customer satisfaction"--Abstract, page iii.


Liou, Frank W.

Committee Member(s)

Xia, Franck
Dagli, Cihan H., 1949-


Computer Science

Degree Name

M.S. in Computer Science


This work was financially supported by Toshiba Corporation, Japan.


University of Missouri--Rolla

Publication Date

Fall 2003


viii, 55 pages

Note about bibliography

Includes bibliographical references (pages 53-54).


© 2003 Praveen Inuganti, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Subject Headings

Quality function deployment
Product management

Thesis Number

T 8424

Print OCLC #


Link to Catalog Record

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