An Optimization Model for a Two-Echelon Remanufacturing Reverse Supply Chain with Carbon Emission Reduction Consideration
To address the high level of carbon emissions in the transportation stage of remanufacturing reverse supply chains, this study develops a two-echelon network optimization model that incorporates multiple transportation modes. Two mixed-integer linear programming (MILP) models are formulated with the objectives of minimizing total cost and carbon emissions, respectively. A case study based on the Yangtze River Delta region is conducted to compare road transportation with multimodal transportation. The results indicate that under a single road transportation mode, the cost-minimization and emission-minimization objectives are aligned. In contrast, multimodal transportation achieves approximately a 48.9% reduction in carbon emissions with only a marginal increase in total cost. These findings demonstrate that multimodal transport provides an effective pathway for low-carbon optimization in remanufacturing supply chains.
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