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Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach

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  • Bernardine Chidozie

    (Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Departmento de Economia, Gestao, Engenharia Industrial e Turismo (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal)

  • Ana Ramos

    (Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Departmento de Economia, Gestao, Engenharia Industrial e Turismo (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal)

  • José Vasconcelos

    (Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP), Departmento de Economia, Gestao, Engenharia Industrial e Turismo (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal)

  • Luis Pinto Ferreira

    (School of Engineering, Polytechnic of Porto (ISEP), Rua Dr. António Bernardino de Almeida, Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI), 4200-465 Porto, Portugal)

  • Reinaldo Gomes

    (INESC TEC—Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal)

Abstract

As environmental sustainability gains importance, enhancing supply chains to minimize environmental hazards is essential, particularly in industries using residual biomass. This study tackles this by investigating the integration of sustainability criteria into supply chain optimization for a biomass energy company in Portugal, using a combination of simulation modeling through anyLogistix software (version: 2.15.3.202209061204) and multi-criteria decision-making. Four supply chain scenarios were designed and simulated, differing in their number of distribution centers, the adoption of green logistics, and split-by-ratio distribution strategies over a 305-day period. Through the weighted sum model, Scenario C emerged as the optimal configuration, achieving a balance between operational efficiency and sustainability by reducing CO 2 emissions by up to 90% and lowering transportation costs without compromising revenue. Sensitivity analysis further highlighted the trade-offs between cost efficiency, lead times, and environmental impact, showing that the strategic placement of distribution centers and the use of eco-friendly vehicles significantly improve the sustainability of the biomass supply chain. These findings provide practical insights for decision-makers, demonstrating how digital modeling tools can enhance supply chain management by optimizing environmental and operational goals simultaneously. This research contributes to the fields of sustainable logistics and supply chain management by validating the effectiveness of green logistics strategies and multi-criteria decision-making approaches in reducing environmental impact while maintaining economic viability.

Suggested Citation

  • Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira & Reinaldo Gomes, 2024. "Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9709-:d:1516219
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    References listed on IDEAS

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    1. Martin Hammerschmid & Daniel Cenk Rosenfeld & Alexander Bartik & Florian Benedikt & Josef Fuchs & Stefan Müller, 2023. "Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review," Energies, MDPI, vol. 16(6), pages 1-30, March.
    2. Leonel J. R. Nunes & Sandra Silva, 2023. "Optimization of the Residual Biomass Supply Chain: Process Characterization and Cost Analysis," Logistics, MDPI, vol. 7(3), pages 1-21, August.
    3. Tomasz Kalak, 2023. "Potential Use of Industrial Biomass Waste as a Sustainable Energy Source in the Future," Energies, MDPI, vol. 16(4), pages 1-25, February.
    4. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
    5. Margarida Casau & Marta Ferreira Dias & João C. O. Matias & Leonel J. R. Nunes, 2022. "Residual Biomass: A Comprehensive Review on the Importance, Uses and Potential in a Circular Bioeconomy Approach," Resources, MDPI, vol. 11(4), pages 1-16, March.
    6. Giuseppe Piras & Sofia Agostinelli & Francesco Muzi, 2024. "Digital Twin Framework for Built Environment: A Review of Key Enablers," Energies, MDPI, vol. 17(2), pages 1-27, January.
    7. Supriyo Roy & R. P. Mohanty, 2024. "Green logistics operations and its impact on supply chain sustainability: An empirical study," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1447-1476, February.
    8. Zhenyuan Liu & Daniel Wilhelm Hansen & Ziyue Chen, 2023. "Leveraging Digital Twins to Support Industrial Symbiosis Networks: A Case Study in the Norwegian Wood Supply Chain Collaboration," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
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    1. Tiago Bastos & Leonel J. R. Nunes & Leonor Teixeira, 2025. "Smart Residual Biomass Supply Chain: A Digital Tool to Boost Energy Potential Recovery and Mitigate Rural Fire Risk," Sustainability, MDPI, vol. 17(17), pages 1-21, September.

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