Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10201/137862
Twittear
Título: | A discrete competitive facility location model with proportional and binary rules sequentially applied |
Fecha de publicación: | 2023 |
Editorial: | SPRINGER |
Cita bibliográfica: | Optimization Letters |
ISSN: | 1862-4472 1862-4480 |
Materias relacionadas: | CDU::5 - Ciencias puras y naturales::51 - Matemáticas |
Palabras clave: | Location Competitive model Proportional and binary customers rules Discrete optimization Random search |
Resumen: | The paper is focused on discrete competitive facility location problem for an entering firm considering different customer behavior models: for essential goods, customers generally spread their buying power among all facilities within an attraction area, but if there are no facilities nearby, then customers choose a single highly attractive facility outside the attraction area to satisfy their demand. The new facility location model has been proposed considering the proportional customer choice rule for customers with facilities within the attraction area and the binary rule—for customers which facilities are located outside the attraction area. The model has been formulated as a non-linear binary programming problem and a heuristic optimization algorithm has been applied to find the optimal solutions for different instances of the problem using real geographical coordinates and population data of thousands of municipalities in Spain. |
Autor/es principal/es: | Fernández Hernández, Pascual Lancinskas, Algirdas Pelegrín Pelegrín, Blas Zilinskas, Julius |
Facultad/Departamentos/Servicios: | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Estadística e Investigación Operativa |
Versión del editor: | https://link.springer.com/article/10.1007/s11590-022-01938-x |
URI: | http://hdl.handle.net/10201/137862 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 11 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Descripción: | ©2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted, version of a Published Work that appeared in final form in Optimization Letters |
Aparece en las colecciones: | Artículos: Estadística e Investigación Operativa |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
paper_OPTL2021_V4.pdf | 474,94 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons