Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues

Marcela María Morales Chávez; William Sarache; Yasel Costa

doi:10.1016/j.tre.2018.06.001

Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues

Marcela María Morales Chávez, William Sarache, Yasel Costa

Research Center Steyr

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46 Citations (Scopus)

Abstract

Biofuel production from agricultural waste has been identified as a promising strategy in the field of renewable energy. This topic involves complex mathematical modeling tasks such as feedstock characteristics, biorefinery location, capacity strategy and material flows. This paper proposes a Multiple Objective Mixed Integer Linear Programming model (MOMILP) for the design of a sustainable supply chain using multiple agricultural residues. The proposed comprehensive model is utilized in a case study in Colombia, using coffee crop residues. Computational results show the model's robustness as a decision-making tool, which allows the projection of a flexible supply chain structure in the long term.

Original language	English
Pages (from-to)	136-162
Number of pages	27
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	116
DOIs	https://doi.org/10.1016/j.tre.2018.06.001
Publication status	Published - Aug 2018

Keywords

Biofuel supply chain design
Coffee residues
Multiobjective programming
Sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.tre.2018.06.001

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abstract = "Biofuel production from agricultural waste has been identified as a promising strategy in the field of renewable energy. This topic involves complex mathematical modeling tasks such as feedstock characteristics, biorefinery location, capacity strategy and material flows. This paper proposes a Multiple Objective Mixed Integer Linear Programming model (MOMILP) for the design of a sustainable supply chain using multiple agricultural residues. The proposed comprehensive model is utilized in a case study in Colombia, using coffee crop residues. Computational results show the model's robustness as a decision-making tool, which allows the projection of a flexible supply chain structure in the long term.",

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AU - Chávez, Marcela María Morales

AU - Sarache, William

AU - Costa, Yasel

PY - 2018/8

Y1 - 2018/8

N2 - Biofuel production from agricultural waste has been identified as a promising strategy in the field of renewable energy. This topic involves complex mathematical modeling tasks such as feedstock characteristics, biorefinery location, capacity strategy and material flows. This paper proposes a Multiple Objective Mixed Integer Linear Programming model (MOMILP) for the design of a sustainable supply chain using multiple agricultural residues. The proposed comprehensive model is utilized in a case study in Colombia, using coffee crop residues. Computational results show the model's robustness as a decision-making tool, which allows the projection of a flexible supply chain structure in the long term.

AB - Biofuel production from agricultural waste has been identified as a promising strategy in the field of renewable energy. This topic involves complex mathematical modeling tasks such as feedstock characteristics, biorefinery location, capacity strategy and material flows. This paper proposes a Multiple Objective Mixed Integer Linear Programming model (MOMILP) for the design of a sustainable supply chain using multiple agricultural residues. The proposed comprehensive model is utilized in a case study in Colombia, using coffee crop residues. Computational results show the model's robustness as a decision-making tool, which allows the projection of a flexible supply chain structure in the long term.

KW - Biofuel supply chain design

KW - Coffee residues

KW - Multiobjective programming

KW - Sustainability

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M3 - Article

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JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues

Abstract

Keywords

UN SDGs

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