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.
|Number of pages||27|
|Journal||Transportation Research Part E: Logistics and Transportation Review|
|Publication status||Published - Aug 2018|
- Biofuel supply chain design
- Coffee residues
- Multiobjective programming