Theses and Dissertations - UTB/UTPA
Date of Award
5-2010
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Manufacturing Engineering
First Advisor
Dr. Miguel Angel Gonzalez
Second Advisor
Dr. Douglas Timmer
Third Advisor
Dr. Jianzhi Li
Abstract
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.
Granting Institution
University of Texas-Pan American
Comments
Copyright 2010 Oscar Barrenechea All Rights Reserved.
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