Theses and Dissertations - UTB/UTPA

Date of Award

5-2014

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Manufacturing Engineering

First Advisor

Dr. Miguel Gonzalez

Second Advisor

Dr. Douglas Timmer

Third Advisor

Dr. Jianzhi Li

Abstract

Additive Manufacturing (AM) technologies started arising around 1980’s and they are currently considered to be the third industrial revolution. With improvements in computers, materials, and automated machines, manufacturers across several types of industries are becoming more familiar with AM processes, and it has become more common to see products that are being fabricated by using this new technology. However, there are still questions regarding when it is suitable to use Additive Manufacturing or conventional manufacturing processes depending on different factors. The purpose of this thesis is to create a Decision Support System (DSS) that will help users measure product suitability for AM processes based on product and application factors. This is accomplished by using goal programming to establish a model for the measurement of suitability for a product for AM. The model also includes descriptors of suitability based on fuzzy set descriptors.

Comments

Copyright 2014 Cynthia de Vasconcellos Barros. All Rights Reserved.

https://www.proquest.com/dissertations-theses/decision-support-system-measure-product/docview/1560676567/se-2

Granting Institution

University of Texas-Pan American

Included in

Manufacturing Commons

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