Theses and Dissertations - UTB/UTPA
Date of Award
8-2010
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Manufacturing Engineering
First Advisor
Dr. Jianzhi Li
Second Advisor
Dr. Miguel A. Gonzalez
Third Advisor
Dr. Douglas Timmer
Abstract
Increasing number of manufacturers are developing remanufacturing facilities to recover end-of-life products for product/component reuse and material recycling while the high uncertainty pattern of returned products complicates the production planning. In this thesis a stochastic production priority optimization method, considering various priority concerns for remanufacturing systems is developed. Priority ranking and matching algorithm is developed to determine the priority rule, using thirteen weighting factors. Queueing models are developed to formulate the objective function, a genetic algorithm is then developed to search optimal solution under different business configurations. Result of this research will provide insights to priority assignment mechanism, which in turn provides support to manufacturers in decision-making in production planning thus improving the performance of remanufacturing systems.
Granting Institution
University of Texas-Pan American
Comments
Copyright 2010 Xiong Xiong. All Rights Reserved.
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