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Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review

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  • Bernardine Chigozie 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 Luísa 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 Ferreira

    (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)

  • Luís Pinto Ferreira

    (School of Engineering, Polytechnic of Porto (ISEP), Rua Dr. António Bernardino de Almeida, 4249-015 Porto, Portugal
    Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI), 4200-465 Porto, Portugal)

Abstract

Residual biomass is a reliable source of energy and hence requires effective supply chain management for optimal performance and sustainability. While there are various studies on this recent trend, a comprehensive review of the literature on simulation-based modeling of the supply chain for residual agroforestry biomass is lacking. This study aims to present a systematic review of relevant literature surrounding residual agroforestry supply chain simulation insights and directions. The systematic literature review was carried out in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 standards and intends to answer the research questions based on (1) Key Performance Indicators (KPI); (2) Simulation techniques; and (3) Efficient supply chain. A search of the Science Direct, SCOPUS, and UA EBSCO databases was conducted using the appropriate keywords combination. The databases were searched, and a total of 1617 papers were appraised automatically. Subsequently, the titles, keywords, and abstracts of 172 papers were examined. Following the full-text analysis, 20 papers in addition to 27 articles taken from other sources matched the requirements for study inclusion. The publications accessed reveals that simulation-based techniques will optimize the supply chain for residual biomass when applied.

Suggested Citation

  • Bernardine Chigozie Chidozie & Ana Luísa Ramos & José Vasconcelos Ferreira & Luís Pinto Ferreira, 2023. "Residual Agroforestry Biomass Supply Chain Simulation Insights and Directions: A Systematic Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:9992-:d:1177823
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    References listed on IDEAS

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    1. 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.

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