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OR Models in Urban Service Facility Location: A Critical Review of Applications and Future Developments

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OR Models in Urban Service Facility Location: A Critical Review of Applications and Future Developments

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dc.contributor.author Farahani, Reza Zanjirani es_ES
dc.contributor.author Fallah, Samira es_ES
dc.contributor.author Ruiz García, Rubén es_ES
dc.contributor.author Hosseini, Sara es_ES
dc.contributor.author Asgari, Nasrin es_ES
dc.date.accessioned 2020-12-03T04:31:53Z
dc.date.available 2020-12-03T04:31:53Z
dc.date.issued 2019-07-01 es_ES
dc.identifier.issn 0377-2217 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156324
dc.description.abstract [EN] Facility location models are well established in various application areas with more than a century of history in academia. Since the 1970s the trend has been shifting from manufacturing to service industries. Due to their nature, service industries are frequently located in or near urban areas that results in additional assumptions, objectives and constraints other than those in more traditional manufacturing location models. This survey focuses on the location of service facilities in urban areas. We studied 110 research papers across different journals and disciplines. We have analyzed these papers on two levels. On the first, we take an Operations Research perspective to investigate the papers in terms of types of decisions, location space, main assumptions, input parameters, objective functions and constraints. On the second level, we compare and contrast the papers in each of these applications categories: (a) Waste management systems (WMS), (b) Large-scale disaster (LSD), (c) Small-scale emergency (SSE), (d) General service and infrastructure (GSI), (e) Non-emergency healthcare systems (NEH) and (f) Transportation systems and their infrastructure (TSI). Each of these categories is critically analyzed in terms of application, assumptions, decision variables, input parameters, constraints, objective functions and solution techniques. Gaps, research opportunities and trends are identified within each category. Finally, some general lessons learned based on the practicality of the models is synthesized to suggest avenues of future research. es_ES
dc.description.sponsorship Ruben Ruiz is partially supported by the Spanish Ministry of Economy and Competitiveness, under the project "SCHEYARD - Optimization of Scheduling Problems in Container Yards (No. DPI2015-65895-R) financed by FEDER funds. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof European Journal of Operational Research es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Location es_ES
dc.subject Service Facility es_ES
dc.subject Urban Areas es_ES
dc.subject Operational Research es_ES
dc.subject Modeling es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title OR Models in Urban Service Facility Location: A Critical Review of Applications and Future Developments es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ejor.2018.07.036 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2015-65895-R/ES/OPTIMIZATION OF SCHEDULING PROBLEMS IN CONTAINER YARDS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094940-B-I00/ES/OPTIMIZACION DE OPERACIONES EN TERMINALES PORTUARIAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Farahani, RZ.; Fallah, S.; Ruiz García, R.; Hosseini, S.; Asgari, N. (2019). OR Models in Urban Service Facility Location: A Critical Review of Applications and Future Developments. European Journal of Operational Research. 276(1):1-27. https://doi.org/10.1016/j.ejor.2018.07.036 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ejor.2018.07.036 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 27 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 276 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\405878 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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