| Title: | Optimization of reverse logistics network for end-of-life vehicles: a Shanghai case study |
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| Authors: | ID Yao, J. (Author) |
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| Files: |  APEM19-2_253-267.pdf (780,42 KB)
MD5: A6CAA455ABB75748A1602C4D37A7A600
 https://apem-journal.org/Archives/2024/Abstract-APEM19-2_253-267.html
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | With the surge in car ownership, the end-of-life vehicles recycling market has shown enormous development potential. As the reverse logistics network for recycling end-of-life vehicles suffers from high operating costs and low recycling rates, there is an urgent need to upgrade the actual recycling measures for end-of-life vehicles to an operable level. This article first uses the OGM (1, N) model to predict the number of end-of-life vehicles in the coming years. At the same time, a reverse logistics network model with the second-hand car market as the recycling centre was constructed with the goal of minimizing the total cost of the end-of-life vehicles reverse logistics network. The network model was simulated using mixed integer programming (MILP), and the optimal solution was solved through LINGO 12 programming. Through an example analysis of Shanghai, it is found that the market of end-of-life vehicles will embrace growth, and it is verified that the optimized reverse logistics network can effectively reduce the operation cost and logistics cost of recycling centres, and can effectively improve the actual recycling rate of end-of-life vehicles. Finally, the optimized site selection results are obtained, and a specific traffic distribution scheme is proposed, which is crucial for promoting cars that meet scrap standards to be recycled through formal channels and reducing logistics costs for recycling enterprises. |
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| Keywords: | end-of-life vehicles, reverse logistics, recycling, OGM (1, N) model, mixed-integer programming, MILP, LINGO |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 02.02.2024 |
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| Article acceptance date: | 25.05.2024 |
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| Publication date: | 29.08.2024 |
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| Publisher: | Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering |
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| Year of publishing: | 2024 |
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| Number of pages: | str. 253-267 |
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| Numbering: | Vol. 19, no. 2 |
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| PID: | 20.500.12556/DKUM-96868  |
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| UDC: | 658.5 |
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| ISSN on article: | 1854-6250 |
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| COBISS.SI-ID: | 266736387 |
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| DOI: | 10.14743/apem2024.2.505 |
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| Copyright: | Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
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| Publication date in DKUM: | 30.01.2026 |
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| Views: | 143 |
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| Downloads: | 2 |
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| Metadata: |    |
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| Categories: | Misc.
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