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A Multi-Criteria Decision-Making Framework for Prioritizing and Overcoming Sectoral Barriers in Converting Agricultural Residues to a Building Material

Author

Listed:
  • Dragan Pamučar

    (Faculty of Organizational Sciences, University of Belgrade, 11000 Belgrade, Serbia)

  • Masoud Behzad

    (School of Industrial Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso 46383, Chile)

  • Miljojko Janosevic

    (Military Medical Academy, 17 Crnotravska St., 11040 Belgrade, Serbia)

  • Claudia Andrea Aburto Araneda

    (School of Industrial Engineering, Faculty of Engineering, Universidad de Valparaíso, Valparaíso 46383, Chile)

Abstract

Biological products utilization are increasingly encouraged in different sectors such as building construction to facilitate moving towards a circular economy. However, this task is facing several barriers in supply chain and construction sectors. This study identified common barriers in converting agricultural residues to building materials and products in the agriculture sector, transportation, and manufacturing, as well as construction and operation phases in the building sector. The feasibility level to overcome the barriers has been scored. In addition, the barriers and sectors have been prioritized through ordinal priority approach. The results ranked the priority of the barriers as technology (0.3083), policy (0.2211), knowledge (0.1972), cost (0.1500), social and cultural (0.0739), and infrastructure (0.0494). Sectors were ranked in feasibility level to overcome the barriers from lowest to highest as operating, construction, manufacturing, transport, and agriculture. It is recommended to local communities to give priority to the building sector rather than supply chain and work under an integrated framework to enhance the feasibility level, which should include localization, prevention, collaboration, and digitalization. In particular, Chile should promote converting agricultural residues to building products as the project aligns with several initiatives existing in its circular economy roadmap.

Suggested Citation

  • Dragan Pamučar & Masoud Behzad & Miljojko Janosevic & Claudia Andrea Aburto Araneda, 2022. "A Multi-Criteria Decision-Making Framework for Prioritizing and Overcoming Sectoral Barriers in Converting Agricultural Residues to a Building Material," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:4003-:d:956274
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    References listed on IDEAS

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    1. Mahmoudi, Amin & Javed, Saad Ahmed, 2022. "Performance Evaluation of Construction Sub‐contractors using Ordinal Priority Approach," Evaluation and Program Planning, Elsevier, vol. 91(C).
    2. Karan, Shivesh Kishore & Hamelin, Lorie, 2020. "Crop residues are a key feedstock to bioeconomy but available methods for their estimation are highly uncertain," Earth Arxiv ds8v4, Center for Open Science.
    3. Wen-Kuo Chen & Ching-Torng Lin, 2021. "Interrelationship among CE Adoption Obstacles of Supply Chain in the Textile Sector: Based on the DEMATEL-ISM Approach," Mathematics, MDPI, vol. 9(12), pages 1-24, June.
    4. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
    5. Chukwuebuka M. U-Dominic & Ifeyinwa Juliet Orji & Modestus Okwu, 2021. "Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    6. Liu, LiFang & Li, HongQiang & Lazzaretto, Andrea & Manente, Giovanni & Tong, ChunYi & Liu, QiBin & Li, NianPing, 2017. "The development history and prospects of biomass-based insulation materials for buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 912-932.
    7. Ratapol Wudhikarn & Nopasit Chakpitak & Gilles Neubert, 2020. "Improving the Strategic Benchmarking of Intellectual Capital Management in Logistics Service Providers," Post-Print hal-03188190, HAL.
    8. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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