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A solution method for a two-layer sustainable supply chain distribution model

Sahar Validi, Arijit Bhattacharya, P.J. Byrne (Dublin City University, Brunel University London)

CHALLENGE - This article presents an effective solution method for a two-layer, NP-hard sustainable supply chain distribution model. The solution method below has been implemented for an Irish dairy processing industry’s two-layer supply chain network. The main objectives of this study were the minimization of CO2 emission and reduction of total costs

SOLUTION - A DoE-guided MOGA-II optimizer based solution method using modeFRONTIER is proposed. The DoE generates 6,100 real feasible solutions after 100 generations of the MOGA-II optimizer, which are then refined using statistical experimentation. TOPSIS aids in prioritizing the realistic low-carbon distribution routes. The immediate outcome of the proposed solution method results in realistic optimized routes from plants to consumers, while minimizing the CO2 emission from transportation, and reducing the sum of costs for operating these plants and serving these routes. A set of realistic routes from plants to consumers with minimum total CO2 emission and total costs are then geographically mapped.







BENEFITS -  The chosen methodology using modeFRONTIER results in a set of solutions along the Pareto frontier by way of trading-off among the criteria for the combinatorial optimization model. The generated solution contributes to the design of a low-carbon supply chain network by minimizing both the total cost of operating facilities and total carbon emissions.