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

Marcela María Morales Chávez, William Sarache and Yasel Costa

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 116, issue C, 136-162

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.

Keywords: Biofuel supply chain design; Multiobjective programming; Sustainability; Coffee residues (search for similar items in EconPapers)
Date: 2018
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Handle: RePEc:eee:transe:v:116:y:2018:i:c:p:136-162