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A Huff-like location model with quality adjustment and/or closing of existing facilities
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Title: A Huff-like location model with quality adjustment and/or closing of existing facilities |
Authors: Anton-Sanchez, Laura  G.-Tóth, Boglárka  Fernández, José |
Editor: Elsevier |
Department: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Issue Date: 2024 |
URI: https://hdl.handle.net/11000/34259 |
Abstract:
The problem of an expanding chain in a given area is considered. It may locate a new facility, vary the quality of its existing facilities, close some of them, or a combination of all these possibilities, whatever is the best to maximize its profit, given a budget for the expansion. A new competitive location and design model is proposed that allows all these possibilities. The resulting model is a difficult to solve MINLP problem. A branch-and-bound method based on interval analysis is proposed to cope with it. The method can solve medium-size problems in a reasonable amount of CPU time. An ad-hoc heuristic and a hybrid method that usually find a near-optimal solution in a fraction of time of the exact method are also proposed. Some computational studies are presented to show the performance of the algorithms.
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Keywords/Subjects: Location MINLP Branch-and-bound Heuristic Hybrid algorithm |
Knowledge area: CDU: Ciencias puras y naturales: Matemáticas |
Type of document: info:eu-repo/semantics/article |
Access rights: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI: https://doi.org/10.1016/j.ejor.2023.08.054 |
Appears in Collections: Artículos Estadística, Matemáticas e Informática
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