A novel approach for optimisation of bioenergy supply chain: Integrating mathematical programming, Geographic Information System, and Analytic Hierarchy Process

Maryam Roudneshin, Amanda Sosa

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DOI: 10.1016/j.biortech.2024.131827
Published: 2025-02
Container: Bioresource Technology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.biortech.2024.131827,
  title = {A novel approach for optimisation of bioenergy supply chain: Integrating mathematical programming, Geographic Information System, and Analytic Hierarchy Process},
  author = {Maryam Roudneshin and Amanda Sosa},
  year = {2025},
  journal = {Bioresource Technology},
  doi = {10.1016/j.biortech.2024.131827},
  url = {https://doi.org/10.1016/j.biortech.2024.131827}
}

RIS

TY  - JOUR
TI  - A novel approach for optimisation of bioenergy supply chain: Integrating mathematical programming, Geographic Information System, and Analytic Hierarchy Process
AU  - Maryam Roudneshin
AU  - Amanda Sosa
PY  - 2025
JO  - Bioresource Technology
DO  - 10.1016/j.biortech.2024.131827
UR  - https://doi.org/10.1016/j.biortech.2024.131827
ER  -

APA

Roudneshin, M., & Sosa, A. (2025). A novel approach for optimisation of bioenergy supply chain: Integrating mathematical programming, Geographic Information System, and Analytic Hierarchy Process. Bioresource Technology. https://doi.org/10.1016/j.biortech.2024.131827

Source records

crossref · retrieved 2026-09-25T15:13:38.380Z