Optimal design of sustainably efficient biorefineries supply chains

  • Lucas M. Machin Ferrero Universidad Nacional de Tucumán - Consejo Nacional de Investigaciones Científicas y Técnicas
  • Richard Cabrera Jiménez Univ. Rovira i Virgili
  • Jonathan Wheeler Universidad Nacional de Tucumán - Consejo Nacional de Investigaciones Científicas y Técnicas
  • Carlos Pozo Univ. Politècnica de Catalunya
  • Fernando D. Mele Universidad Nacional de Tucumán - Consejo Nacional de Investigaciones Científicas y Técnicas
Palabras clave: Biomass, Multi-criteria decision-making, Data Envelopment Analysis

Resumen

A more comprehensive use of biomass as raw material to produce food, energy and products would result in an important contribution towards the
Sustainable Development Goals. The concept of biorefinery allows regions with abundant natural resources to make the most of available biomass for these purposes, achieving progressive independence from fossil resources. This study presents a framework for the multi-criteria design of biorefinery supply chains (SC) under sustainability considerations. Therefore, an optimization approach of different scenarios is performed followed by a ranking based on the Data Envelopment Analysis (DEA) model to assess the efficiency according to different economic, environmental and social indicators. The capabilities of this approach are demonstrated through a case study of the biomass SC centered in the Northwest of Argentina.

Publicado
2022-12-16
Cómo citar
Machin Ferrero, L., Cabrera Jiménez, R., Wheeler, J., Pozo, C., & Mele, F. (2022). Optimal design of sustainably efficient biorefineries supply chains. Memorias De Las JAIIO, 8(13), 156-169. Recuperado a partir de https://publicaciones.sadio.org.ar/index.php/JAIIO/article/view/349
Sección
SIIIO - Simposio Argentino de Informática Industrial e Investigación Operat