Enhancing Agroforestry Residual Biomass Recovery: Developing and Validating a Supply Chain Management App-Based Model

Tiago Bastos et al.

International Journal of Industrial Engineering and Management2025https://doi.org/10.24867/ijiem-377article
AJG 1
Weight
0.41

What the paper says

Due to climate change and agricultural activity changes, there has been an upward trend in burnt areas in various countries.Besides two essential factors to fire occurrence, a third may be considered: ignitions, which often happen due to negligent attitudes toward fire, frequently used to eradicate agroforestry leftovers.As a way of dealing with this type of incident and reducing the rural fire occurrence risk, there is a need to create destinations for these leftovers, promoting the residual biomass recovery, and avoiding fire ignition needs and fuel loads.In an internet and digital applications era, their use can be used as a driver to fill leftovers destination necessity, connecting the two market sides, the supply, and the demand.In this context, this study aims to consolidate an app-based model presented in previous studies through an expert's validation.As a result, an information model to foster the agroforestry leftover recovery, as well as requirements list for the digital artefact that will support this model, are presented.These results present a relevant integrated model where different various scenarios are proposed, offering different paths to fire risk mitigation and inherent sustainability concerns.

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https://doi.org/https://doi.org/10.24867/ijiem-377

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@article{tiago2025,
  title        = {{Enhancing Agroforestry Residual Biomass Recovery: Developing and Validating a Supply Chain Management App-Based Model}},
  author       = {Tiago Bastos et al.},
  journal      = {International Journal of Industrial Engineering and Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.24867/ijiem-377},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.