Design of Reverse Logistics Network for Power Battery Considering Transportation Risk

In order to integrate the concept of sustainable development and safety into the management of power battery recycling, a sustainable reverse logistics network considering the balanced development of risk and cost is constructed. The model takes into account many uncertain factors, including the recovery amount, recovery price, transportation distance, treatment cost and so on, and uses fuzzy theory to transform it into a deterministic model. Finally, the validity of the model is analyzed by an example, and the sensitivity of the parameters is analyzed. The results show that the multi-objective decision-making model can effectively promote the coordinated development of risk and cost compared with the single-objective optimization model, and the change of risk and cost weight will lead to the corresponding change of its objective function, which provides a theoretical basis for the decision-making of risk and cost control of power battery reverse logistics network in the environment of limited information uncertainty.

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Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2024-08-12
DOI
https://doi.org/10.62051/ijcsit.v3n3.39
Citations
2
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.59
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article

Design of Reverse Logistics Network for Power Battery Considering Transportation Risk

Fuyang Gao
2 citations
International Journal of Computer Science and Information Technology
Recycling and Waste Management Techniques
0.59
article

Design of Reverse Logistics Network for Power Battery Considering Transportation Risk

Fuyang Gao
article en
2 citations

Abstract

In order to integrate the concept of sustainable development and safety into the management of power battery recycling, a sustainable reverse logistics network considering the balanced development of risk and cost is constructed. The model takes into account many uncertain factors, including the recovery amount, recovery price, transportation distance, treatment cost and so on, and uses fuzzy theory to transform it into a deterministic model. Finally, the validity of the model is analyzed by an example, and the sensitivity of the parameters is analyzed. The results show that the multi-objective decision-making model can effectively promote the coordinated development of risk and cost compared with the single-objective optimization model, and the change of risk and cost weight will lead to the corresponding change of its objective function, which provides a theoretical basis for the decision-making of risk and cost control of power battery reverse logistics network in the environment of limited information uncertainty.

International Journal of Computer Science and Information TechnologyVol. 3(3)
Henan Polytechnic University (CN)
Openalex Percentile: Top 31%
Recycling and Waste Management Techniques
0.59
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Design of Reverse Logistics Network for Power Battery Considering Transportation Risk — Fuyang Gao · International Journal of Computer Science and Information Technology (2024) | TGRS Research Map | TGRS