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dc.contributor.authorBaldomero Naranjo, Marta 
dc.contributor.authorMartínez Merino, Luisa Isabel 
dc.contributor.authorRodríguez Chía, Antonio Manuel 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2024-03-11T08:27:29Z
dc.date.available2024-03-11T08:27:29Z
dc.date.issued2024
dc.identifier.issn0360-8352
dc.identifier.urihttp://hdl.handle.net/10498/31345
dc.description.abstractThis paper introduces a new hierarchical facility location model with three levels: first-level facilities which manufacture different products, second-level facilities which act as warehouses and a third-level consisting of the clients who demand the products that have been manufactured in the first level and stored in the second level. In this model, called multi-product maximal covering second-level facility location problem (SL-MCFLP), the aim is to decide the location of the second-level facilities and the products to be stored in each of them maximizing the overall clients’ satisfaction with respect their coverage. To deal with this model, we introduce a Mixed Integer Linear Program (MILP) which is reinforced by some families of valid inequalities. Since some of these families have an exponential number of constraints, separation algorithms are proposed. In addition, three variants of a matheuristic procedure are developed. Computational studies are included, showing the potentials and limits of the formulation and the effectiveness of the heuristic.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.sourceComputers & Industrial Engineering 189 (2024) 109961es_ES
dc.subjectHierarchical locationes_ES
dc.subjectCoveringes_ES
dc.subjectInteger programminges_ES
dc.subjectMatheuristices_ES
dc.titleMulti-product maximal covering second-level facility location problemes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.cie.2024.109961
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2020-2023/TED2021-130875B-I00/ES/Optimización de recursos y de cadenas de producción.es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/RED2022-134149-T/ES/RED TEMATICA: CIENCIA DE LA LOCALIZACION Y PROBLEMAS AFINES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114594GB-C22/ES/OPTIMIZATION ON DATA SCIENCE AND NETWORK DESIGN PROBLEMS: DATA SCIENCE MEETS OPTIMIZATION AND NETWORK MODELS/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//AT 21_00032/es_ES
dc.type.hasVersionVoRes_ES


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