Theses and Dissertations - UTB/UTPA
Date of Award
8-2014
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Manufacturing Engineering
First Advisor
Dr. Jianzhi Li
Second Advisor
Dr. Miguel Gonzalez
Third Advisor
Dr. Hiram Moya
Abstract
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.
Granting Institution
University of Texas-Pan American
Comments
Copyright 2014 Juan C. Martinez. All Rights Reserved.
https://www.proquest.com/dissertations-theses/decision-support-model-process-planning/docview/1629825814/se-2