5752242
doi
10.1007/s10479-021-04405-5
oai:zenodo.org:5752242
user-innorenew
user-eu
Balázs Dávid
InnoRenew CoE; University of Primorska
Tamás Kis
Institute for Computer Science and Control, Eötvös Loránd Research Network; Department of Operations Research, Eötvös Loránd University
Miklós Krész
InnoRenew CoE; University of Primorska
Robust facility location in reverse logistics
Péter Egri
Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Facility location
Robust optimization
Economies of scale
Reverse logistics for wood recycling
<p>As environmental awareness is becoming increasingly important, alternatives are needed for the traditional forward product flows of supply chains. The field of reverse logistics covers activities that aim to recover resources from their final destination, and acts as the foundation of the efficient backward flow of these materials. Designing the appropriate reverse logistics network for a given field is a crucial problem, as this provides the basis for all operations connected to the resource flow. This paper focuses on design questions in the supply network of waste wood, dealing with its collection and transportation to designated processing facilities. The facility location problem is studied for this use-case, and mathematical models are developed that consider economies of scale and the robustness of the problem. A novel approach based on bilevel optimization is used for computing the exact solutions of the robust problem on smaller instances. A local search and a tabu search method is also introduced for solving problems of realistic sizes. The developed models and methods are tested both on real-life and artificial instance sets in order to assess their performance.</p>
Zenodo
2021-12-02
info:eu-repo/semantics/article
5752241
user-innorenew
user-eu
award_title=Renewable materials and healthy environments research and innovation centre of excellence; award_number=739574; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/739574; funder_id=00k4n6c32; funder_name=European Commission;
1638802988.43402
1329017
md5:fbf44526decb57e8e5ce752ce39e16e7
https://zenodo.org/records/5752242/files/s10479-021-04405-5.pdf
public
Annals of Operations Research
2021
2021-12-02