Fuzzy multiple objective linear programming model for the optimal allocation of feedstock for bioethanol production
Issue Date
12-2010
Abstract
A fuzzy goal programming (FGP) approach for the optimal allocation of feedstock (corn, sugarcane, cassava, sweet sorghum) for ethanol production was formulated in the study. The mathematical model proposes to determine different allocation strategies that address the conflicts between food and ethanol requirement. The model formulation enables the specification of targets for these requirements. Since these targets are vague or difficult to determine accurately, they are modeled as 'fuzzy'. A separate but similar tolerance-based FGP technique is developed to quantify the fuzziness of these different goals and constraints. The fuzzy goals and constraints are transformed to linear constraints by introducing tolerance variables. The model then is structured to minimize the values of the weighted sum of tolerance variables. This formulation is deemed as the most acceptable compromise and provides the most satisfactory set of allocation possible. The model is then verified using data from government agencies. The validation includes a sensitivity analysis to determine the ranges of feasibility and optimality of the model with respect to the gathered data. The results from this study will help address the debate about food versus fuel, and provide technical and socio-economic information about ethanol production.
Source or Periodical Title
U.P. Los Baños Journal
ISSN
0117-1461
Volume
8
Page
159-179
Document Type
Article
Frequency
annually
Physical Description
tables; references
Language
English
Subject
Linear programming; Biofuels; Ethanol
Recommended Citation
Tubay, Jerrold M.; Panopio, Rolando G.; and Mendoza, Guillermo A., "Fuzzy multiple objective linear programming model for the optimal allocation of feedstock for bioethanol production" (2010). Journal Article. 5756.
https://www.ukdr.uplb.edu.ph/journal-articles/5756
En – AGROVOC descriptors
LINEAR PROGRAMMING; MODELS; BIOFUELS; ETHANOL; PRODUCTION; STOCKS