An integrated decision framework for robust parameter design

Madhumohan S. Govindaluri*, Sangmun Shin, Byung Rae Cho

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


Robust parameter design is a popular methodology for quality improvement. One of the drawbacks of the current practice of parameter design is failure to incorporate customer perception captured in the conceptual design phase through considerable expenditure of time and effort. This research develops an enhanced paradigm for parameter design based on the integration of multiattribute weight assessment, quality function deployment, empirical modeling methods, and multicriteria optimization in order to accomplish effective trade-off decisions based on customer preferences associated with a parameter design problem of multiple quality characteristics. The four modeling elements are integrated into a useful framework and the connections between them in the context of parameter design are explained in this paper. A numerical example is presented and sensitivity analysis is shown in the paper.

Original languageEnglish
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004


OtherIIE Annual Conference and Exhibition 2004
Country/TerritoryUnited States
CityHouston, TX

ASJC Scopus subject areas

  • General Engineering


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