Dissertation/Thesis Abstract

A Multi-Objective Robust Algal Biofuel Supply Chain Under Uncertainty
by Ghasemi Nodooshan, Keivan, M.S., Northern Illinois University, 2017, 96; 10603441
Abstract (Summary)

Energy has historically been of great importance to the world. Depletion of fossil fuels, growing demand, global warming, and etc. have even accentuated this importance more. Amongst the biomass for production of biofuel which is one of the most promising renewable energy options, algae have been gaining a lot of attention in recent years. This thesis will propose a Biofuel Supply Chain Network Design for the development of algal biofuels. In order to do so, a Mixed Integer Linear Program will be created to design and optimize a biofuel supply chain from raw material procurement to biofuel distribution. Furthermore, a robust optimization method will be utilized to enable the model to cope with uncertainties of the biofuel supply chain. In addition, an environmental objective would be considered alongside an economic objective both of which are optimized by augmented &egr;-Constraint method to address issues such as global warming.

Indexing (document details)
Advisor: Moraga, Reinaldo J., Chen, Shi-Jie
Commitee: Nguyen, Christine, Wang, Ziteng
School: Northern Illinois University
Department: Industrial and Systems Engineering
School Location: United States -- Illinois
Source: MAI 57/01M(E), Masters Abstracts International
Subjects: Engineering
Keywords: Algal biofuel, Multi objective optimization, Robust optimization, Ε-constraint
Publication Number: 10603441
ISBN: 978-0-355-29899-4
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