Theses and Dissertations - UTB/UTPA

Date of Award


Document Type


Degree Name

Master of Science (MS)


Manufacturing Engineering

First Advisor

Dr. Miguel Angel Gonzalez

Second Advisor

Dr. Douglas Timmer

Third Advisor

Dr. Jianzhi Li


In today’s manufacturing world, high competitive markets are pushing companies to find better ways to satisfy their customer’s needs using several Mass Customization (MC) approaches. Consequently, new Information Technologies (IT) have taken a very important role in order to manage the increasing amount of data generated from those customers. The purpose of this thesis is to develop an IT suitability index for MC that would help to identify the critical IT factors to be addressed in order to efficiently support MC. A linear programming regression model was utilized to generate index values. Finally, the results of this model could be used as an estimator of an expert description of IT suitability based on linguistic variables of a particular scenario.


Copyright 2010 Oscar Barrenechea All Rights Reserved.

Granting Institution

University of Texas-Pan American

Included in

Manufacturing Commons