Background
Type: Article

Energy-Aware Dual-Channel agricultural supply chain network design under uncertainty

Journal: Computers and Industrial Engineering (03608352)Year: September 2025Volume: 207Issue:
Hosseini A.Goli A.a
DOI:10.1016/j.cie.2025.111294Language: English

Abstract

Agricultural supply chains are crucial for ensuring food security and sustainability, especially under the growing pressure of global demand and environmental concerns. Efficient management of these supply chains, particularly in the face of uncertainties, is vital for optimizing resource use and minimizing waste. This research proposes a multi-objective optimization model for multi-period and multi-product agricultural supply chains with a focus on corn products under conditions of uncertainty. The proposed model includes two separate channels for the collection, production, and distribution of corn grain products (canned and corn oil) as well as the production and distribution of biofuel from corn residues. To deal with the uncertainty in the most important parameters, scenario-based robust optimization has been utilized. Next, a hybrid augmented epsilon constraint and Lagrangian Relaxation is proposed to find the Pareto solution. Finally, a real case study in Iran is analyzed to validate the model's applicability and effectiveness. The numerical results demonstrate that optimizing the first objective function reduced the total system cost to 6.96 billion dollars, while the optimization of the second objective function minimized the total energy consumption of the network to 6.86 terawatt hours. In addition, scenario analysis highlights the importance of energy consumption in enhancing efficiency and reducing supply chain costs. Furthermore, using a robust optimization approach stabilizes supply chain performance in the face of uncertainties, establishing a balance between economic and environmental goals. The results demonstrate a significant improvement in the supply chain's sustainability, showcasing novel insights into optimizing agricultural supply chains that have not been extensively explored in previous studies. © 2025 Elsevier Ltd


Author Keywords

Agricultural Supply ChainBiomassEnergy ConsumptionLagrangian RelaxationRobust OptimizationSupply Chain Network Design

Other Keywords

Energy efficiencyLagrange multipliersSeedSupply chain managementAgricultural supply chainsDesign under uncertaintyDual channelEnergy awareEnergy-consumptionLagrangian relaxationsObjective functionsRobust optimizationSupply chain network designUncertaintyGrain (agricultural product)