Publicación: Localización de locales comerciales: un enfoque de selección multicriterio
| dc.contributor.author | Mendoza-Mendoza, Adel | |
| dc.contributor.author | Delahoz-Dominguez, Enrique | |
| dc.contributor.author | Mendoza-Casseres, Daniel | |
| dc.date.accessioned | 2019-12-15T00:00:00Z | |
| dc.date.accessioned | 2026-02-18T14:42:39Z | |
| dc.date.available | 2019-12-15T00:00:00Z | |
| dc.date.issued | 2019-12-15 | |
| dc.description.abstract | Rev.esc.adm.neg La decisión referente a la localización de un local comercial es de carácter estratégico, ya que se deben estudiar las diferentes alternativas de acuerdo con múltiples factores, de manera que puede considerarse un proceso complejo de toma de decisiones multicriterio o MCDM. En el presente trabajo se propone una metodología para la selección de localización de locales comerciales que integra el proceso de jerarquía analítica difuso o AHP difuso, el cual se utiliza a fin de ponderar los criterios para la selección bajo la técnica de orden de preferencia por similitud con la solución ideal o TOPSIS, a fin de seleccionar la mejor opción de localización según las calificaciones obtenidas por todas las alternativas. Se presenta un estudio de caso, con el propósito de ilustrar la aplicabilidad de la metodología propuesta, en el que se tienen cinco centros comerciales como elecciones de localización, en conformidad con cuatro criterios: infraestructura, costo de arrendamiento, accesibilidad de clientes y potencial comercial. Las ponderaciones que alcanzaron cada criterio fueron 11,2 %, 21,0 %, 14,3 % y 53,5 %, respectivamente. Finalmente, no solo se demuestra la aplicabilidad de la metodología para el caso sino los alcances que la misma puede llegar a tener en otros sectores de negocio, pues se presenta como una manera confiable y efectiva para seleccionar la mejor opción entre un grupo de alternativas dependiendo de los diferentes criterios clave. | spa |
| dc.description.abstract | Rev.esc.adm.neg The decision regarding the location of commercial premises is one of strategic nature, as the different alternatives that may be available must be studied according to multiple factors, that way, it can be considered a complex Multi-Criteria Decision-Making (MCDM) process. This document is intended to propose a methodology for the selection of location of commercial premises that integrates the fuzzy analytical hierarchy process or fuzzy AHP, which is used to weight the selection criteria under the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), in order to select the best option for the location according to the qualifications that are obtained from all the alternatives. A case study is presented, with the purpose of illustrating the applicability of the methodology that has been proposed, in which five shopping centers are used as location choices, according to four criteria: infrastructure, cost of renting, accessibility to customers, and commercial potential. The weights that were achieved by each criterion were 11.2 %, 21.0 %, 14.3 %, and 53.5 %, respectively. Finally, it not only demonstrates the applicability of the methodology for the case, but also, the scope that it can have in other business sectors, since it is presented as a reliable and effective way to select the best option among a group of alternatives, depending on the different key criteria | eng |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | text/html | |
| dc.format.mimetype | application/xml | |
| dc.identifier.doi | 10.21158/01208160.n87.2019.2446 | |
| dc.identifier.eissn | 2590-521X | |
| dc.identifier.issn | 0120-8160 | |
| dc.identifier.uri | https://hdl.handle.net/10882/18544 | |
| dc.identifier.url | https://doi.org/10.21158/01208160.n87.2019.2446 | |
| dc.publisher | Universidad Ean | |
| dc.relation.bitstream | https://journal.universidadean.edu.co/index.php/Revista/article/download/2446/1988 | |
| dc.relation.bitstream | https://journal.universidadean.edu.co/index.php/Revista/article/download/2446/2029 | |
| dc.relation.bitstream | https://journal.universidadean.edu.co/index.php/Revista/article/download/2446/2045 | |
| dc.relation.citationedition | Gestión del talento humano en las organizaciones | |
| dc.relation.citationissue | 87 | |
| dc.relation.ispartofjournal | Revista Ean | |
| dc.relation.references | Alizadeh, S.; Rad, M. M. S.; Bazzazi, A. A. (2016). Alunite processing method selection using the AHP and Topsis approaches under fuzzy environment. International Journal of Mining Science and Technology, 26(6), 1017-1023. DOI: https://doi.org/10.1016/j.ijmst.2016.09.009 | |
| dc.relation.references | Asakereh, A.; Soleymani, M.; Sheikhdavoodi, M. J. (2017). A GIS-based Fuzzy-AHP method for the evaluation of solar farms locations: case study in Khuzestan province, Iran. Solar Energy, 155, 342-353. DOI: https://doi.org/10.1016/j.solener.2017.05.075 | |
| dc.relation.references | Behzadian, M.; Otaghsara, S. K.; Yazdani, M.; Ignatius, J. (2012). A state-of the-art survey of Topsis applications. Expert Systems with Applications, 39(17), 13051-13069. DOI: https://doi.org/10.1016/j.eswa.2012.05.056 | |
| dc.relation.references | Beikkhakhian, Y.; Javanmardi, M.; Karbasian, M.; Khayambashi, B. (2015). The application of ISM model in evaluating agile supplier’s selection criteria and ranking suppliers using fuzzy Topsis-AHP methods. Expert systems with Applications, 42(15-16), 6224-6236. DOI: https://doi.org/10.1016/j.eswa.2015.02.035 | |
| dc.relation.references | Bhushan, N.; Rai, K. (2007). Strategic decision making: applying the analytic hierarchy process. Springer Science & Business Media. | |
| dc.relation.references | Büyüközkan, G.; Kahraman, C.; Ruan, D. (2004). A fuzzy multi-criteria decision approach for software development strategy selection. International Journal of General Systems, 33(2-3), 259-280. DOI: https://doi.org/10.1080/03081070310001633581 | |
| dc.relation.references | Carlsson, C.; Fullér, R. (1996). Fuzzy multiple criteria decision making: recent developments. Fuzzy Sets and Systems, 78(2), 139-153. DOI: https://doi.org/10.1016/0165-0114(95)00165-4 | |
| dc.relation.references | Chauhan, A.; Singh, A. (2016). A hybrid multi-criteria decision making method approach for selecting a sustainable location of healthcare waste disposal facility. Journal of Cleaner Production, 139, 1001-1010. DOI: https://doi.org/10.1016/j.jclepro.2016.08.098 | |
| dc.relation.references | Chen, L. F.; Tsai, C. T. (2016). Data mining framework based on rough set theory to improve location selection decisions: a case study of a restaurant chain. Tourism Management, 53, 197-206. DOI: https://doi.org/10.1016/j.tourman.2015.10.001 | |
| dc.relation.references | Dožić, S.; Lutovac, T.; Kalić, M. (2018). Fuzzy AHP approach to passenger aircraft type selection. Journal of Air Transport Management, 68, 165-175. DOI: https://doi.org/10.1016/j.jairtraman.2017.08.003 | |
| dc.relation.references | Guerrero, L. C. U.; Marín, L. S. M.; Gómez, J. C. O. (2016). Selección multicriterio de aliado estratégico para la operación de carga terrestre. Estudios Gerenciales, 32(138), 35-43. DOI: https://doi.org/10.1016/j.estger.2015.09.002 | |
| dc.relation.references | Gürcan, Ö. F.; Beyca, Ö. F.; Arslan, Ç. Y.; Eldemir, F. (2016). Third party logistics (3PL) provider selection with AHP application. Procedia-Social and Behavioral Sciences, 235, 226-234. DOI: https://doi.org/10.1016/j.sbspro.2016.11.018 | |
| dc.relation.references | Hanine, M.; Boutkhoum, O.; Tikniouine, A.; Agouti, T. (2016). Application of an integrated multicriteria decision making AHP-Topsis methodology for ETL software selection. SpringerPlus, 5(1), 263. DOI: https://doi.org/10.1186/s40064-016-1888-z | |
| dc.relation.references | Hualpa-Zúñiga, A. M.; Suárez-Roldán, C. (2013). Ubicación y dimensionamiento como parámetros en el diseño de almacenes: revisión del estado de arte. Ingeniería, 18(1), 65-83. DOI: https://doi.org/10.14483/udistrital.jour.reving.2013.1.a04 | |
| dc.relation.references | Hwang, C. L.; Yoon, K. (1981). Methods for multiple attribute decision making. En Multiple attribute decision making. (58-191). Berlin, Heidelberg: Springer. DOI: https://doi.org/10.1007/9783-642-48318-9 | |
| dc.relation.references | Hong, L.; Xiaohua, Z. (2011). Study on location selection of multi-objective emergency logistics center based on AHP. Procedia Engineering, 15, 2128-2132. DOI: https://doi.org/10.1016/j.proeng.2011.08.398 | |
| dc.relation.references | Hsieh, M. C.; Wang, E. M. Y.; Lee, W. C.; Li, L. W.; Hsieh, C. Y.; Tsai, W.; Wang, C. P.; Huang, J.L.; Liu, T. C. (2018). Application of HFACS, fuzzy TOPSIS, and AHP for identifying important human error factors in emergency departments in Taiwan. International Journal of Industrial Ergonomics, 67, 171-179. DOI: https://doi.org/10.1016/j.ergon.2018.05.004 | |
| dc.relation.references | Jayawickrama, H. M. M. M.; Kulatunga, A. K.; Mathavan, S. (2017). Fuzzy AHP based plant sustainability evaluation method. Procedia Manufacturing, 8, 571-578. DOI: https://doi.org/10.1016/j.promfg.2017.02.073 | |
| dc.relation.references | Jumaah, F. M.; Zaidan, A. A.; Zaidan, B. B.; Bahbibi, R.; Qahtan, M. Y.; Sali, A. (2018). Technique for order performance by similarity to ideal solution for solving complex situations in multicriteria optimization of the tracking channels of GPS baseband telecommunication receivers. Telecommunication Systems, 68(3), 425-443. DOI: https://doi.org/10.1007/s11235-0170401-5 | |
| dc.relation.references | Kazazi, S.; Akbari, A.; Jabbari, M.; Asefi, H. (2018). Parking lot site selection using a fuzzy AHP-Topsis framework in Tuyserkan, Iran. Journal of Urban Planning and Development, 144(3), 04018022. DOI: https://doi.org/10.1061/(ASCE)UP.1943-5444.0000456 | |
| dc.relation.references | Mosadeghi, R.; Warnken, J.; Tomlinson, R.; Mirfenderesk, H. (2015). Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, Environment and Urban Systems, 49, 54-65. DOI: https://doi.org/10.1016/j.compenvurbsys.2014.10.001 | |
| dc.relation.references | Prakash, C.; Barua, M. K. (2015). Integration of AHP-Topsis method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. Journal of Manufacturing Systems, 37, 599-615. DOI: https://doi.org/10.1016/j.jmsy.2015.03.001 | |
| dc.relation.references | Roig-Tierno, N.; Baviera-Puig, A.; Buitrago-Vera, J.; Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191198. DOI: https://doi.org/10.1016/j.apgeog.2013.03.005 | |
| dc.relation.references | Saaty, T. L. (1980). The analytic hierarchy process. Nueva York: McGraw-Hill. DOI: https://doi.org/10.21236/ADA214804 | |
| dc.relation.references | Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. DOI: https://doi.org/10.1504/IJSSCI.2008.017590 | |
| dc.relation.references | Santis, R.; Golliat, L.; Aguiar, E. (2017). Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator. Brazilian Journal of Operations & Production Management, 14(3), 428-437. DOI: https://doi.org/10.14488/BJOPM.2017.v14.n3.a15 | |
| dc.relation.references | Sennaroglu, B.; Celebi, G. V. (2018). A military airport location selection by AHP integrated Promethee and Vikor methods. Transportation Research Part D: transport and Environment, 59, 160-173. DOI: https://doi.org/10.1016/j.trd.2017.12.022 | |
| dc.relation.references | Senouci, M. A.; Mushtaq, M. S.; Hoceini, S.; Mellouk, A. (2016). Topsis-based dynamic approach for mobile network interface selection. Computer Networks, 107, 304-314. DOI: https://doi.org/10.1016/j.comnet.2016.04.012 | |
| dc.relation.references | Sevtsuk, A. (2014). Location and agglomeration: the distribution of retail and food businesses in dense urban environments. Journal of Planning Education and Research, 34(4), 374-393. DOI: https://doi.org/10.1177/0739456X14550401 | |
| dc.relation.references | Walczak, D.; Rutkowska, A. (2017). Project rankings for participatory budget based on the fuzzy Topsis method. European Journal of Operational Research, 260(2), 706-714. DOI: https://doi.org/10.1016/j.ejor.2016.12.044 | |
| dc.relation.references | Yıldız, N.; Tüysüz, F. (2018). A hybrid multi-criteria decision making approach for strategic retail location investment: application to Turkish food retailing. Socio-Economic Planning Sciences, 68. DOI: https://doi.org/10.1016/j.seps.2018.02.006 | |
| dc.relation.references | Zhao, L.; Li, H.; Li, M.; Sun, Y.; Hu, Q.; Mao, S.; Li, J.; Xue, J. (2018). Location selection of intra-city distribution hubs in the metro-integrated logistics system. Tunnelling and Underground Space Technology, 80, 246-256. DOI: https://doi.org/10.1016/j.tust.2018.06.024 | |
| dc.rights | Revista Escuela de Administración de Negocios - 2019 | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.uri | ||
| dc.source | https://journal.universidadean.edu.co/index.php/Revista/article/view/2446 | |
| dc.subject | Centros comerciales | spa |
| dc.subject | Ubicación de almacenes | spa |
| dc.subject | Almacenes al por menor | spa |
| dc.subject | Planeación estratégica | spa |
| dc.subject | Análisis de mercadeo | spa |
| dc.title | Localización de locales comerciales: un enfoque de selección multicriterio | spa |
| dc.title.translated | The location of commercial premises: a multi-criteria selection approach | eng |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
| dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| dc.type.content | Text | |
| dc.type.driver | info:eu-repo/semantics/article | |
| dc.type.redcol | http://purl.org/redcol/resource_type/ARTREF | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication |
