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

En – AGROVOC descriptors

LINEAR PROGRAMMING; MODELS; BIOFUELS; ETHANOL; PRODUCTION; STOCKS

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