dc.creator | Lorenzo Espejo, Antonio | es |
dc.creator | Muñuzuri, Jesús | es |
dc.creator | Guadix Martín, José | es |
dc.creator | Escudero Santana, Alejandro | es |
dc.date.accessioned | 2022-05-25T09:51:55Z | |
dc.date.available | 2022-05-25T09:51:55Z | |
dc.date.issued | 2022-04 | |
dc.identifier.citation | Lorenzo Espejo, A., Muñuzuri, J., Guadix Martín, J. y Escudero Santana, A. (2022). A Hybrid Metaheuristic for the Omnichannel Multiproduct Inventory Replenishment Problem. Journal of Theoretical and Applied Electronic Commerce Research, 17 (2), 476-492. | |
dc.identifier.issn | 0718-1876 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133643 | |
dc.description.abstract | In the current paradigm for the retail industry, which is experiencing a rapid evolution, especially in textile companies, the generic problem of product allocation in a distribution and supply chain consisting of one main warehouse and several locations, belonging to different sales channels, is a challenge. The omnichannel replenishment process focuses on dynamically optimizing a shop or intermediate warehouse inventory for a wide range of products based on a forecast of sales, in order to fulfill the demand of all of the channels considered. In this context, the aims of this work were (a) to optimize inventory replenishment for multiple channels and products that are not perishable but devalue over time, and (b) to implement a methodology that combines the benefits of the Particle Swarm Optimization metaheuristic and Simulated Annealing. This study was carried out for different sales periods, channels and product configurations by performing a sensitivity analysis between the way new solutions are updated and the degree of intensification used in local search. | es |
dc.description.sponsorship | Consejería de Economía, Conocimiento, Empresas y Universidad of Andalusia and Programme FEDER 2014– 2020 project TRACSINT P20_01183 | es |
dc.description.sponsorship | Ministry of Universities of Spain through a grant for the Training of University Researchers (Ayuda para la Formación del Profesorado Universitario) FPU20/05584 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Journal of Theoretical and Applied Electronic Commerce Research, 17 (2), 476-492. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Omnichannel | es |
dc.subject | Multiproduct | es |
dc.subject | Replenishment | es |
dc.subject | Metaheuristics | es |
dc.subject | Particle Swarm Optimization | es |
dc.subject | Simulated Annealing | es |
dc.subject | Fashion retail | es |
dc.subject | Depreciation | es |
dc.title | A Hybrid Metaheuristic for the Omnichannel Multiproduct Inventory Replenishment Problem | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II | es |
dc.relation.projectID | TRACSINT P20_01183 | es |
dc.relation.projectID | FPU20/05584 | es |
dc.relation.publisherversion | https://www.mdpi.com/0718-1876/17/2/25 | es |
dc.identifier.doi | 10.3390/jtaer17020025 | es |
dc.contributor.group | Universidad de Sevilla. TEP127: Ingeniería de Organización | es |
dc.journaltitle | Journal of Theoretical and Applied Electronic Commerce Research | es |
dc.publication.volumen | 17 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 476 | es |
dc.publication.endPage | 492 | es |