Optimal design of sustainably efficient biorefineries supply chains

Autores/as

  • Lucas M. Machin Ferrero Universidad Nacional de Tucumán, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
  • Richard Cabrera Jiménez Universidad Rovira i Virgili, España
  • Jonathan Wheeler Universidad Nacional de Tucumán, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
  • Carlos Pozo Università Politècnica de Catalunya, España
  • Fernando D. Mele Universidad Nacional de Tucumán, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina

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.

Descargas

Publicado

2022-12-16

Número

Sección

SIIIO - Simposio de Informática Industrial e Investigación Operativa

Cómo citar

Machin Ferrero, L. M., Cabrera Jiménez, R., Wheeler, J., Pozo, C., & Mele, F. D. (2022). Optimal design of sustainably efficient biorefineries supply chains. JAIIO, Jornadas Argentinas De Informática, 8(13), 156-169. https://revistas.unlp.edu.ar/JAIIO/article/view/18344