Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues. (August 2018)

• Record Type: Journal Article
• Authors: Chávez, Marcela María Morales; Sarache, William; Costa, Yasel
• Is Part Of: Transportation research. Volume 116(2018)
• Page Start: 136
• Page End: 162
• Publication Date: 2018-08
• Subjects: Biofuel supply chain design -- Multiobjective programming -- Sustainability -- Coffee residues; Logistics -- Periodicals; Transportation -- Periodicals; 388.011
• DOI: 10.1016/j.tre.2018.06.001
• Languages: English
• ISSNs: 1366-5545

Abstract

Highlights: A comprehensive mathematical model is proposed for biofuel supply chain design. We link the three dimensions of sustainability using multiobjective programming. Dynamic capacity strategy in facilities is addressed. A realistic case study in Colombia is conducted. 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.