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Agroforestry Biomass Recovery Supply Chain Management: A More Efficient Information Flow Model Based on a Web Platform

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  • Tiago Bastos

    (Departamento de Economia, Gestão, Engenharia Industrial e Turismo (DEGEIT), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • Leonor C. Teixeira

    (Departamento de Economia, Gestão, Engenharia Industrial e Turismo (DEGEIT), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Unidade de Investigação em Governança, Competitividade e Políticas Públicas (GOVCOPP), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Instituto de Engenharia Eletrónica e Informática de Aveiro (IEETA), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • João C. O. Matias

    (Departamento de Economia, Gestão, Engenharia Industrial e Turismo (DEGEIT), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Unidade de Investigação em Governança, Competitividade e Políticas Públicas (GOVCOPP), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal)

  • Leonel J. R. Nunes

    (Departamento de Economia, Gestão, Engenharia Industrial e Turismo (DEGEIT), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    Unidade de Investigação em Governança, Competitividade e Políticas Públicas (GOVCOPP), Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
    proMetheus, Unidade de Investigação em Materiais, Energia e Ambiente para a Sustentabilidade, Instituto Politécnico de Viana do Castelo, Rua da Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal)

Abstract

Background : With the increasing societal focus on sustainability and the critical need for innovative energy solutions, this research emphasizes the undervalued biomass originating from waste products of agroforestry activities. The traditional practice of disposing of these waste products through open-air burning has led to environmental challenges and a tragic loss of their inherent energy potential. Methods : This study adopts a multifaceted approach, integrating literature reviews, expert interviews from both the academic and professional sectors, and surveys. The central focus is on understanding supply chain inefficiencies and communication gaps that contribute to waste and addressing them through the Lean philosophy, renowned for its waste reduction benefits. Results : Our research culminated in the development of a unique information management model based on a web application. Additionally, the study provides a theoretical groundwork for an application that backs the proposed model. Conclusions : The presented strategy and web-based model offer promising avenues for managing waste products from agroforestry activities more sustainably and efficiently. This approach not only addresses the environmental issues arising from waste disposal but also taps into the significant energy potential these waste products hold.

Suggested Citation

  • Tiago Bastos & Leonor C. Teixeira & João C. O. Matias & Leonel J. R. Nunes, 2023. "Agroforestry Biomass Recovery Supply Chain Management: A More Efficient Information Flow Model Based on a Web Platform," Logistics, MDPI, vol. 7(3), pages 1-15, August.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:3:p:56-:d:1223092
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    1. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira, 2024. "Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach," Logistics, MDPI, vol. 8(4), pages 1-18, October.

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