Theses and Dissertations - UTB/UTPA

Date of Award


Document Type


Degree Name

Master of Science (MS)


Manufacturing Engineering

First Advisor

Dr. Jianzhi Li

Second Advisor

Dr. Miguel Gonzalez

Third Advisor

Dr. Hiram Moya


The environmental awareness and resources preservation has boosted the use of remanufacturing processes. Many important studies have been made in this area, but there are still pitfalls and opportunities that have not been explored yet. Specifically, the cleaning processes play a critical role in remanufacturing. It is among the top of most costly processes and it plays a key step in remanufacturing because delivers a free of contaminant product ready for reprocessing. Understanding and selecting the best processes to meet the need and goals of remanufacturers are important for effective and efficient remanufacturing. Due to variables and high uncertainty associated with cleaning processes, there is a need of both knowledge and application of remanufacturing process planning. Aiming on this need, a decision making tool based on fuzzy sets and genetic algorithm for process planning is proposed. It helps the remanufacturer to select the best cleaning processes to achieve its objective.


Copyright 2014 Juan C. Martinez. All Rights Reserved.

Granting Institution

University of Texas-Pan American

Included in

Manufacturing Commons