IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7774-d592966.html
   My bibliography  Save this article

Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste

Author

Listed:
  • Edgar Gutierrez-Franco

    (Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32826, USA
    Center for Latin-American Logistics Innovation, Massachusetts Institute of Technology, Global SCALE Network, LOGYCA, Bogota 110111, Colombia)

  • Andres Polo

    (School of Engineering, Fundacion Universitaria Agraria de Colombia, Bogota 110111, Colombia)

  • Nicolas Clavijo-Buritica

    (Department of Industrial Engineering and Management, University of Porto, 4099-002 Porto, Portugal
    Institute for Systems and Computer Engineering, Technology and Science INESC TEC, 4200-465 Porto, Portugal)

  • Luis Rabelo

    (Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32826, USA)

Abstract

The production and supply chain management of biofuels from organic waste as raw material has been identified as a promising strategy in the field of renewable energies and circular economy initiatives. This industry involves complex tasks such as strategic land use, feedstock purchasing, production plant location, production capacity strategy, and material flows, which can be solved by mathematical modeling. The study proposed a multi-objective mixed-integer linear programming model to design a sustainable supply chain of biofuels with forest residues from its triple function: economic, environmental, and social. The trade-offs between the proposed objectives were determined with computational results. The proposed objectives were profit maximization, CO 2 minimization, and employment generation maximization. Thus, the proposed model serves as a tool for decision-making, allowing the projection of a long-term structure of the biofuel supply chains and contribute to the United Nations Sustainable Development Goals.

Suggested Citation

  • Edgar Gutierrez-Franco & Andres Polo & Nicolas Clavijo-Buritica & Luis Rabelo, 2021. "Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7774-:d:592966
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7774/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/7774/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moretti, Luca & Milani, Mario & Lozza, Giovanni Gustavo & Manzolini, Giampaolo, 2021. "A detailed MILP formulation for the optimal design of advanced biofuel supply chains," Renewable Energy, Elsevier, vol. 171(C), pages 159-175.
    2. Sharma, B. & Ingalls, R.G. & Jones, C.L. & Khanchi, A., 2013. "Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 608-627.
    3. Ko, Ja Kyong & Lee, Jae Hoon & Jung, Je Hyeong & Lee, Sun-Mi, 2020. "Recent advances and future directions in plant and yeast engineering to improve lignocellulosic biofuel production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Fangzhou Sun & Maichel M. Aguayo & Rahul Ramachandran & Subhash C. Sarin, 2018. "Biomass feedstock supply chain design – a taxonomic review and a decomposition-based methodology," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5626-5659, September.
    5. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    6. Chun Hsion Lim & Wei Xin Chua & Yi Wen Pang & Bing Shen How & Wendy Pei Qin Ng & Sin Yong Teng & Wei Dong Leong & Sue Lin Ngan & Hon Loong Lam, 2020. "A Diverse and Sustainable Biodiesel Supply Chain Optimisation Model Based on Properties Integration," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    7. Mohseni, Shayan & Pishvaee, Mir Saman & Sahebi, Hadi, 2016. "Robust design and planning of microalgae biomass-to-biodiesel supply chain: A case study in Iran," Energy, Elsevier, vol. 111(C), pages 736-755.
    8. Harahap, Fumi & Leduc, Sylvain & Mesfun, Sennai & Khatiwada, Dilip & Kraxner, Florian & Silveira, Semida, 2020. "Meeting the bioenergy targets from palm oil based biorefineries: An optimal configuration in Indonesia," Applied Energy, Elsevier, vol. 278(C).
    9. Esveidi Montserrat Valdovinos-García & Juan Barajas-Fernández & María de los Ángeles Olán-Acosta & Moisés Abraham Petriz-Prieto & Adriana Guzmán-López & Micael Gerardo Bravo-Sánchez, 2020. "Techno-Economic Study of CO 2 Capture of a Thermoelectric Plant Using Microalgae ( Chlorella vulgaris ) for Production of Feedstock for Bioenergy," Energies, MDPI, vol. 13(2), pages 1-19, January.
    10. Palacio-Ciro, Santiago & Vasco-Correa, Carlos Andrés, 2020. "Biofuels policy in Colombia: A reconfiguration to the sugar and palm sectors?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    11. Mohammad Fattahi & Kannan Govindan & Mehdi Farhadkhani, 2021. "Sustainable supply chain planning for biomass-based power generation with environmental risk and supply uncertainty considerations: a real-life case study," International Journal of Production Research, Taylor & Francis Journals, vol. 59(10), pages 3084-3108, May.
    12. Linda Dominique Fabiola Bambara & Marie Sawadogo & Daniel Roy & Didier Anciaux & Joël Blin & Salifou Koucka Ouiminga, 2018. "Biofuel from Balanites aegyptiaca : Optimization of the Feedstock Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    13. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    14. Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
    15. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    16. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Labiba Noshin Asha & Arup Dey & Nita Yodo & Lucy G. Aragon, 2022. "Optimization Approaches for Multiple Conflicting Objectives in Sustainable Green Supply Chain Management," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    2. Hmouda, Ahmed M.O. & Orzes, Guido & Sauer, Philipp C., 2024. "Sustainable supply chain management in energy production: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).
    2. Sadeghi Darvazeh, Saeed & Mansoori Mooseloo, Farzaneh & Gholian-Jouybari, Fatemeh & Amiri, Maghsoud & Bonakdari, Hossein & Hajiaghaei-Keshteli, Mostafa, 2024. "Data-driven robust optimization to design an integrated sustainable forest biomass-to-electricity network under disjunctive uncertainties," Applied Energy, Elsevier, vol. 356(C).
    3. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    4. Martinez-Valencia, Lina & Garcia-Perez, Manuel & Wolcott, Michael P., 2021. "Supply chain configuration of sustainable aviation fuel: Review, challenges, and pathways for including environmental and social benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    5. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    6. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    7. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.
    8. Razm, Sobhan & Brahimi, Nadjib & Hammami, Ramzi & Dolgui, Alexandre, 2023. "A production planning model for biorefineries with biomass perishability and biofuel transformation," International Journal of Production Economics, Elsevier, vol. 258(C).
    9. Yazan, Devrim Murat & Mandras, Giovanni & Garau, Giorgio, 2017. "Environmental and economic sustainability of integrated production in bio-refineries: The thistle case in Sardinia," Renewable Energy, Elsevier, vol. 102(PB), pages 349-360.
    10. Espinoza Pérez, Andrea Teresa & Camargo, Mauricio & Narváez Rincón, Paulo César & Alfaro Marchant, Miguel, 2017. "Key challenges and requirements for sustainable and industrialized biorefinery supply chain design and management: A bibliographic analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 350-359.
    11. Kasmuri, N.H. & Kamarudin, S.K. & Abdullah, S.R.S. & Hasan, H.A. & Som, A.Md., 2017. "Process system engineering aspect of bio-alcohol fuel production from biomass via pyrolysis: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 914-923.
    12. Li, Zhengbing & Liang, Yongtu & Ni, Weilong & Liao, Qi & Xu, Ning & Li, Lichao & Zheng, Jianqin & Zhang, Haoran, 2022. "Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines," Applied Energy, Elsevier, vol. 311(C).
    13. Olli-Jussi Korpinen & Mika Aalto & Raghu KC & Timo Tokola & Tapio Ranta, 2023. "Utilisation of Spatial Data in Energy Biomass Supply Chain Research—A Review," Energies, MDPI, vol. 16(2), pages 1-23, January.
    14. Santibañez-Aguilar, José Ezequiel & Quiroz-Ramírez, Juan José & Sánchez-Ramírez, Eduardo & Segovia-Hernández, Juan Gabriel & Flores-Tlacuahuac, Antonio & Ponce-Ortega, José María, 2022. "Marginalization index as social measure for Acetone-Butanol-Ethanol supply chain planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    15. Lo, Shirleen Lee Yuen & How, Bing Shen & Leong, Wei Dong & Teng, Sin Yong & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Techno-economic analysis for biomass supply chain: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    16. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2016. "Considering biomass growth and regeneration in the optimisation of biomass supply chains," Renewable Energy, Elsevier, vol. 87(P2), pages 990-1002.
    17. Aalto, Mika & KC, Raghu & Korpinen, Olli-Jussi & Karttunen, Kalle & Ranta, Tapio, 2019. "Modeling of biomass supply system by combining computational methods – A review article," Applied Energy, Elsevier, vol. 243(C), pages 145-154.
    18. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    19. Zimmer, Tobias & Rudi, Andreas & Müller, Ann-Kathrin & Fröhling, Magnus & Schultmann, Frank, 2017. "Modeling the impact of competing utilization paths on biomass-to-liquid (BtL) supply chains," Applied Energy, Elsevier, vol. 208(C), pages 954-971.
    20. Gao, Evelyn & Sowlati, Taraneh & Akhtari, Shaghaygh, 2019. "Profit allocation in collaborative bioenergy and biofuel supply chains," Energy, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7774-:d:592966. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.