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

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  • Trung Tuan Nguyen
  • Hai Van Pham
  • Thu Huyen Nguyen
  • Minh Hoan Pham
  • Thi Minh Ngoc Tong

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.

Suggested Citation

  • Trung Tuan Nguyen & Hai Van Pham & Thu Huyen Nguyen & Minh Hoan Pham & Thi Minh Ngoc Tong, 2025. "The Proposed Smart Supply Chain Management of Operations and Distributions in Forest and Agricultural Products," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 39(2), pages 147-160, November.
  • Handle: RePEc:bla:apacel:v:39:y:2025:i:2:p:147-160
    DOI: 10.1111/apel.12453
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    References listed on IDEAS

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    1. Wang, Yuxi & Wang, Jingxin & Schuler, Jamie & Hartley, Damon & Volk, Timothy & Eisenbies, Mark, 2020. "Optimization of harvest and logistics for multiple lignocellulosic biomass feedstocks in the northeastern United States," Energy, Elsevier, vol. 197(C).
    2. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    3. Miguel Constantino & Isabel Martins & José G. Borges, 2008. "A New Mixed-Integer Programming Model for Harvest Scheduling Subject to Maximum Area Restrictions," Operations Research, INFORMS, vol. 56(3), pages 542-551, June.
    4. Gunnarsson, Helene & Ronnqvist, Mikael & Lundgren, Jan T., 2004. "Supply chain modelling of forest fuel," European Journal of Operational Research, Elsevier, vol. 158(1), pages 103-123, October.
    5. Luo, Li & O'Hehir, Jim & Regan, Courtney M. & Meng, Li & Connor, Jeffery D. & Chow, Christopher W.K., 2021. "An integrated strategic and tactical optimization model for forest supply chain planning," Forest Policy and Economics, Elsevier, vol. 131(C).
    6. Badakhshan, Ehsan & Ball, Peter, 2023. "A simulation-optimization approach for integrating physical and financial flows in a supply chain under economic uncertainty," Operations Research Perspectives, Elsevier, vol. 10(C).
    7. Mohammad Asghari & Hamid Afshari & S.M.J. Mirzapour Al-E-Hashem & Amir Fathollahi-Fard & Maxim Dulebenets, 2022. "Pricing and advertising decisions in a direct-sales closed-loop supply chain," Post-Print hal-03870063, HAL.
    8. Legues, Andres Diaz & Ferland, Jacques A. & Ribeiro, Celso C. & Vera, Jorge R. & Weintraub, Andres, 2007. "A tabu search approach for solving a difficult forest harvesting machine location problem," European Journal of Operational Research, Elsevier, vol. 179(3), pages 788-805, June.
    9. Sawik, Tadeusz, 2023. "Reshore or not Reshore: A Stochastic Programming Approach to Supply Chain Optimization," Omega, Elsevier, vol. 118(C).
    10. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
    11. Nicolas Andalaft & Pablo Andalaft & Monique Guignard & Adrian Magendzo & Alexis Wainer & Andres Weintraub, 2003. "A Problem of Forest Harvesting and Road Building Solved Through Model Strengthening and Lagrangean Relaxation," Operations Research, INFORMS, vol. 51(4), pages 613-628, August.
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