Abstract
Recycling waste materials has become increasingly important recently both for economic and environmental reasons. In order to efficiently operate the backward flow of the materials, a basic challenge is to design the proper reverse logistics network containing the collection points, test centers and manufacturing plants. This paper studies the supply network of waste wood, which has to be collected in dedicated accumulation centers, and transported to processing facilities. We focus on the facility location of processing centers and propose mathematical models that take economies of scale and robustness into account, including a novel approach based on bilevel optimization. We also give a local and tabu search method for the solution of the problem. Test results are presented for both the robust and non-robust case using instances based on a real-life dataset.
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Acknowledgements
The research of Péter Egri and Tamás Kis has been supported by the National Research, Development and Innovation Office—NKFIH, grant no. SNN 129178, and ED_18-2-2018-0006. Tamás Kis was supported by Project ED-18-1-2019-030 (Application-specific highly reliable IT solutions), which has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the Thematic Excellence Programme funding scheme. Balázs Dávid and Miklós Krész gratefully acknowledge the European Commission for funding the InnoRenew CoE project (Grant Agreement #739574) under the Horizon2020 Widespread-Teaming program, and the Republic of Slovenia (Investment funding of the Republic of Slovenia and the European Union of the European Regional Development Fund). Miklós Krész is also grateful for the support of the Slovenian ARRS grant N1-0093. The authors would like to thank Aleksandar Tosic for his useful insights regarding the problem and for providing the real-world input dataset.
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Egri, P., Dávid, B., Kis, T., Krész, M. (2020). Robust Reverse Logistics Network Design. In: Golinska-Dawson, P. (eds) Logistics Operations and Management for Recycling and Reuse. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33857-1_3
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