Multi-objective Optimization for Waste Express Packaging Recycling Network Design under Uncertainties

ZHANG Qiqi; ZHANG Tao

doi:10.19554/j.cnki.1001-3563.2025.17.032

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (17) : 304-313. DOI: 10.19554/j.cnki.1001-3563.2025.17.032

Green Packaging and Circular Economy

Multi-objective Optimization for Waste Express Packaging Recycling Network Design under Uncertainties

ZHANG Qiqi¹, ZHANG Tao^2,*

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Abstract

To address the recycling and reuse of express packaging under uncertainties, the work aims to construct a five-level reverse logistics network comprising distribution points, recycling centers, remanufacturing centers, resale markets, and landfill sites. Considering the uncertainty in the quantity and quality of express packaging recycling in the facility location-allocation, a multi-objective integer programming model will be established to minimize economic and environmental costs. The fuzzy chance-constrained programming theory was introduced to transform the uncertainty model into a deterministic equivalent. Furthermore, the Epsilon constraint method was employed to handle multiple objectives and generate a set of Pareto-optimal solutions. The constructed model was applied to solve a simulation case involving 20 express delivery outlets, 4 recycling centers, 4 remanufacturing centers, 2 markets and 1 landfill site, generating a well-balanced Pareto frontier to obtain near-optimal location and allocation solutions. The method effectively balances economic and environmental goals, reducing the environmental impact of express packaging recycling. Parameter analysis further reveals the trade-off between these objectives, offering theoretical and practical support for building a green and efficient recycling system.

Key words

uncertain environment / fuzzy chance constrained programming / location-allocation problems (lap) / reverse logistics / multi-objective optimization / Epsilon constraint

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ZHANG Qiqi, ZHANG Tao. Multi-objective Optimization for Waste Express Packaging Recycling Network Design under Uncertainties[J]. Packaging Engineering. 2025, 46(17): 304-313 https://doi.org/10.19554/j.cnki.1001-3563.2025.17.032

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