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The Proposed Smart Supply Chain Management of Operations and Distributions in Forest and Agricultural Products

Nguyen Trung Tuan et al.

Asian-Pacific Economic Literature2025https://doi.org/10.1111/apel.12453article
ABDC C
Weight
0.37

What the paper says

ABSTRACT Recently, optimising the supply chain operation in forest and agricultural products plays significant roles in sustaining natural resources for economic development. To align with the global agricultural product standards, farmers, suppliers, and managers must make every effort in improving the processing with an attempt to ensure that every product is transparent in terms of origins. However, the conventional supply chain systems are facing restraints in the distributions and management of forest products. This paper presents a novel model that embeds algorithms into the operations of the forest ecology products market in supply chain systems. The proposed system has provided a platform for gathering various sources such as distributors, agencies, and customers as inputs of data for better management; cutting costs of manufacturers, agencies, and suppliers; improving product quality that will be helpful to stakeholders participating in the ecosystem. Experimental results in case studies in real‐world problems have demonstrated the efficiency and effectiveness of the proposed system for supply chains control improvements in forest products.

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https://doi.org/https://doi.org/10.1111/apel.12453

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@article{nguyen2025,
  title        = {{The Proposed Smart Supply Chain Management of Operations and Distributions in Forest and Agricultural Products}},
  author       = {Nguyen Trung Tuan et al.},
  journal      = {Asian-Pacific Economic Literature},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1111/apel.12453},
}

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The Proposed Smart Supply Chain Management of Operations and Distributions in Forest and Agricultural Products

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Evidence weight

0.37

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

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 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.