Date of Award

2009-01-01

Degree Name

Master of Science

Department

Industrial Engineering

Advisor(s)

Tzu-Liang Tseng

Abstract

This research presents an experimental study where four controllable and one noise factor are analyzed using the Taguchi approach and the Central Composite Design (CCD) in order to induce robustness in a process that is being designed to treat residual grease from small restaurants. Three response variables are analyzed separately to establish the parameters conditions to obtain the most robust process output. These suggested conditions are validated conducting confirmation runs that are compared statistically to the predictions from the Taguchi prediction model for the Taguchi approach, and the Response optimizer for the CCD. The accuracy of each method is measured as a percentage of predictions that can not be declared statistically different from the confirmation runs samples. The data analysis indicates that the Taguchi approach has a 100% accuracy level to predict robust responses while the Central Composite Design reports a 25% of accuracy.

Language

en

Provenance

Received from ProQuest

File Size

182 pages

File Format

application/pdf

Rights Holder

Alvaro Cuevas

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