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

Marcela María Morales Chávez, William Sarache, Yasel Costa

Research output: Contribution to journalArticlepeer-review

14 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 languageEnglish
Pages (from-to)136-162
Number of pages27
JournalTransportation Research Part E: Logistics and Transportation Review
Volume116
DOIs
Publication statusPublished - Aug 2018

Keywords

  • Biofuel supply chain design
  • Coffee residues
  • Multiobjective programming
  • Sustainability

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