Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD

The restrictions of installed capacity and distribution resources to which medium and large manufacturing companies are normally subject, make it necessary to establish methods that serve as a tool to make decisions regarding the prioritization of each of their warehouses at the time of supplying th...

Full description

Autores:: Osorio Gómez, Juan Carlos
Peña Vega, Mayra Alejandra
Arias Giraldo, Deysi Yulieth

Tipo de recurso:: Article of journal

Fecha de publicación:: 2018

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: spa

id	REPOUDEM2_3507618d5bcdf96ada781efd3433fb34
oai_identifier_str	oai:repository.udem.edu.co:11407/5509
network_acronym_str	REPOUDEM2
network_name_str	Repositorio UDEM
repository_id_str
dc.title.eng.fl_str_mv	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
dc.title.por.fl_str_mv	Priorização de despachos em empresas de manufatura usando QFD difuso
dc.title.spa.fl_str_mv	Priorización de despachos en empresas de manufactura usando QFD difuso
title	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
spellingShingle	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD Fuzzy quality function deployment Multi-criteria decision making Dispatch prioritization QFD Fuzzy logic Desdobramento da função da qualidade difuso Tomada de decisões multicritério Priorização de despachos QFD Lógica difusa Despliegue de la función de la calidad difuso Toma de decisiones multicriterio Priorización de despachos QFD Lógica difusa
title_short	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
title_full	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
title_fullStr	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
title_full_unstemmed	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
title_sort	Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD
dc.creator.fl_str_mv	Osorio Gómez, Juan Carlos Peña Vega, Mayra Alejandra Arias Giraldo, Deysi Yulieth
dc.contributor.author.none.fl_str_mv	Osorio Gómez, Juan Carlos Peña Vega, Mayra Alejandra Arias Giraldo, Deysi Yulieth
dc.subject.eng.fl_str_mv	Fuzzy quality function deployment Multi-criteria decision making Dispatch prioritization QFD Fuzzy logic
topic	Fuzzy quality function deployment Multi-criteria decision making Dispatch prioritization QFD Fuzzy logic Desdobramento da função da qualidade difuso Tomada de decisões multicritério Priorização de despachos QFD Lógica difusa Despliegue de la función de la calidad difuso Toma de decisiones multicriterio Priorización de despachos QFD Lógica difusa
dc.subject.por.fl_str_mv	Desdobramento da função da qualidade difuso Tomada de decisões multicritério Priorização de despachos QFD Lógica difusa
dc.subject.spa.fl_str_mv	Despliegue de la función de la calidad difuso Toma de decisiones multicriterio Priorización de despachos QFD Lógica difusa
description	The restrictions of installed capacity and distribution resources to which medium and large manufacturing companies are normally subject, make it necessary to establish methods that serve as a tool to make decisions regarding the prioritization of each of their warehouses at the time of supplying them. the importance that the distribution center assigns to each of these, is closely related to the conditions and particularities that characterize them, being these factors of a qualitative, quantitative or a mixture between the two. This article presents a fuzzy QFD multi-criteria method which, in addition to using quantitative variables to establish the order of dispatch of the finished product, considers qualitative variables, the result of the opinions that experts can offer about the particular situations of each winery by means of linguistic variables that are finally quantified through fuzzy triangular numbers.
publishDate	2018
dc.date.created.none.fl_str_mv	2018-02-26
dc.date.accessioned.none.fl_str_mv	2019-11-07T15:03:02Z
dc.date.available.none.fl_str_mv	2019-11-07T15:03:02Z
dc.type.eng.fl_str_mv	Article
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.local.spa.fl_str_mv	Artículo científico
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
format	http://purl.org/coar/resource_type/c_6501
dc.identifier.issn.none.fl_str_mv	1692-3324
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/11407/5509
dc.identifier.doi.none.fl_str_mv	https://doi.org/10.22395/rium.v17n33a9
dc.identifier.eissn.none.fl_str_mv	2248-4094
dc.identifier.reponame.spa.fl_str_mv	reponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourl.none.fl_str_mv	repourl:https://repository.udem.edu.co/
dc.identifier.instname.spa.fl_str_mv	instname:Universidad de Medellín
identifier_str_mv	1692-3324 2248-4094 reponame:Repositorio Institucional Universidad de Medellín repourl:https://repository.udem.edu.co/ instname:Universidad de Medellín
url	http://hdl.handle.net/11407/5509 https://doi.org/10.22395/rium.v17n33a9
dc.language.iso.none.fl_str_mv	spa
language	spa
dc.relation.uri.none.fl_str_mv	https://revistas.udem.edu.co/index.php/ingenierias/article/view/1635
dc.relation.citationvolume.none.fl_str_mv	17
dc.relation.citationissue.none.fl_str_mv	33
dc.relation.citationstartpage.none.fl_str_mv	173
dc.relation.citationendpage.none.fl_str_mv	186
dc.relation.references.spa.fl_str_mv	[1] J.J. Bravo, J.C. Osorio y J.P. Orejuela, “Modelo para la priorización dinámica de despachos de vehículos utilizando el proceso analítico jerárquico,” Revista Facultad de Ingeniería, N.° 48, 201- 215, 2009. [2] L-K. Chan y M-L. Wu, “Quality function deployment: A literature review,” European Journal of Operational Research, vol. 143, N.° 3, 463–497, 2002 [3] J. A. Carnevalli y P. Cauchick P., “Review, analysis and classification of the literature on QFD‒Types of research, difficulties and benefits,” International Journal of Production Economics, vol. 114, N.°2, 737– 754, 2008. [4] M-T. Tsai, H-L. Wu y W-K. Liang, “Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores,” Quality and Quantity, vol. 42, N.°3, 303 -319, 2008. [5] L. Lazzari, E. Machado y R. Pérez, Teoría de decisión fuzzy, Buenos Aires: Ed. Macchi, 1998. [6] E. Bottani y A. Rizzi, “Strategic management of logistics service: A fuzzy QFD approach,” International Journal of Production Economics, vol. 103, N.° 2, 585–599, 2006. [7] E. Bottani, “A fuzzy QFD approach to achieve agility,” International Journal of Production Economics, vol. 119, N.° 2, 380–391, 2009. [8] M. Celik, C.Selcuk, C. Kahraman y E.Deha, “An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market,” Expert Systems with Applications, vol 36, N.° 3, 6227–6235, 2009. 9] Y, Sohn So y I.S. Choi, “Fuzzy QFD for supply chain management with reliability consideration,” Reliability Engineering and System Safety, vol. 22, N.° 3, 327–334, 2001. [10] L-H. Chen y W-C. Ko, “A fuzzy nonlinear model for quality function deployment considering Kano’s concept,” Mathematical and Computer Modelling, vol. 48, N.° 3, 581–593, 2008. [11] H-T. Liu, “The extension of fuzzy QFD: From product planning to part deployment,” Expert Systems with Applications, vol. 36, N.° 8, 11131–11144, 2009. [12] S. H. Amin y J. Razmi, “An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation,” Expert Systems with Applications, vol. 36, N.° 4, 8639–8648, 2009. [13] D. C. Arango y C.E. Ruales, “Selección de proveedores mediante el despliegue de la función de calidad difuso,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2008. [14] D. J. Arias y M. A. Peña, “Formulación de un modelo para priorización de despacho de producto terminado en empresas manufactureras usando QFD fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2010. [15] Giraldo P y Martínez L (2009). “Propuesta de mejoramiento para el programa de ingeniería industrial de la universidad del valle utilizando QFD-fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2009. [16] M.F. Herrera y J.C. Osorio, “Modelo para la gestión de proveedores utilizando AHP difuso,” Estudios Gerenciales Universidad ICESI, N.° 99, pp. 69-88, 2006. [17] J.J. Bravo, J.P. Orejuela y J.C. Osorio, “Administración de recursos de distribución: Indicadores para la priorización en transporte,” Estudios Gerenciales Universidad ICESI, vol 33, N.° 102, pp. 101-118, 2007. [18] G. Facchinetti, “Ranking functions induced by weighted average of fuzzy numbers,” Fuzzy Sets and Systems, vol. 1, pp. 313-327, 2002.
dc.relation.ispartofjournal.spa.fl_str_mv	Revista Ingenierías Universidad de Medellín
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv	http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.creativecommons.*.fl_str_mv	Attribution-NonCommercial-ShareAlike 4.0 International
rights_invalid_str_mv	http://creativecommons.org/licenses/by-nc-sa/4.0/ Attribution-NonCommercial-ShareAlike 4.0 International http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv	p. 173-186
dc.format.medium.spa.fl_str_mv	Electrónico
dc.format.mimetype.none.fl_str_mv	application/pdf
dc.coverage.none.fl_str_mv	Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv	Universidad de Medellín
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingenierías
dc.publisher.place.spa.fl_str_mv	Medellín
dc.source.spa.fl_str_mv	Revista Ingenierías Universidad de Medellín; Vol. 17 Núm. 33 (2018): Julio-Diciembre; 173-186
institution	Universidad de Medellín
repository.name.fl_str_mv	Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv	repositorio@udem.edu.co
_version_	1814159262468800512
spelling	Osorio Gómez, Juan CarlosPeña Vega, Mayra AlejandraArias Giraldo, Deysi YuliethOsorio Gómez, Juan CarlosPeña Vega, Mayra AlejandraArias Giraldo, Deysi Yulieth2019-11-07T15:03:02Z2019-11-07T15:03:02Z2018-02-261692-3324http://hdl.handle.net/11407/5509https://doi.org/10.22395/rium.v17n33a92248-4094reponame:Repositorio Institucional Universidad de Medellínrepourl:https://repository.udem.edu.co/instname:Universidad de MedellínThe restrictions of installed capacity and distribution resources to which medium and large manufacturing companies are normally subject, make it necessary to establish methods that serve as a tool to make decisions regarding the prioritization of each of their warehouses at the time of supplying them. the importance that the distribution center assigns to each of these, is closely related to the conditions and particularities that characterize them, being these factors of a qualitative, quantitative or a mixture between the two. This article presents a fuzzy QFD multi-criteria method which, in addition to using quantitative variables to establish the order of dispatch of the finished product, considers qualitative variables, the result of the opinions that experts can offer about the particular situations of each winery by means of linguistic variables that are finally quantified through fuzzy triangular numbers.As restrições de capacidade instalada e de recursos de distribuição às quais as médias e grandes empresas manufatureiras normalmente se encontram submetidas fazem com que surja a necessidade de estabelecer métodos que sirvam como ferramenta para tomar decisões com respeito à priorização de cada um de seus estoques na hora de abastecê-los. A importância que o centro de distribuição designa a cada um deles está estreitamente relacionada às condições e particularidades que os caracterizam. Tais fatores podem ser de tipo qualitativo, quantitativo ou uma mistura dos dois. Este artigo apresenta um método multicritério QFD difuso que, além de utilizar variáveis quantitativas para estabelecer a ordem de despacho do produto terminado, leva em consideração variáveis qualitativas, resultados das opiniões que os especialistas podem oferecer sobre as situações particulares de cada estoque por meio de variáveis linguísticas que, finalmente, são quantificadas por meio de números difusos triangulares.Las restricciones de capacidad instalada y de recursos de distribución a las que normalmente se encuentran sometidas las medianas y grandes empresas manufactureras, hacen que surja la necesidad de establecer métodos que sirvan como herramienta para tomar decisiones en cuanto a la priorización de cada una de sus bodegas al momento de abastecerlas. La importancia que el centro de distribución asigna a cada una de estas, se encuentra estrechamente relacionada con las condiciones y particularidades que las caracterizan, pudiendo ser estos factores de tipo cualitativo, cuantitativo o una mezcla entre los dos. Este artículo presenta un método multicriterio QFD difuso el cual, además de utilizar variables cuantitativas para establecer el orden de despacho de producto terminado, tiene en cuenta variables cualitativas, resultado de las opiniones que los expertos pueden ofrecer acerca de las situaciones particulares de cada bodega mediante variables lingüísticas que, finalmente, se cuantifican a través de números difusos triangulares.p. 173-186Electrónicoapplication/pdfspaUniversidad de MedellínFacultad de IngenieríasMedellínhttps://revistas.udem.edu.co/index.php/ingenierias/article/view/16351733173186[1] J.J. Bravo, J.C. Osorio y J.P. Orejuela, “Modelo para la priorización dinámica de despachos de vehículos utilizando el proceso analítico jerárquico,” Revista Facultad de Ingeniería, N.° 48, 201- 215, 2009.[2] L-K. Chan y M-L. Wu, “Quality function deployment: A literature review,” European Journal of Operational Research, vol. 143, N.° 3, 463–497, 2002[3] J. A. Carnevalli y P. Cauchick P., “Review, analysis and classification of the literature on QFD‒Types of research, difficulties and benefits,” International Journal of Production Economics, vol. 114, N.°2, 737– 754, 2008.[4] M-T. Tsai, H-L. Wu y W-K. Liang, “Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores,” Quality and Quantity, vol. 42, N.°3, 303 -319, 2008.[5] L. Lazzari, E. Machado y R. Pérez, Teoría de decisión fuzzy, Buenos Aires: Ed. Macchi, 1998.[6] E. Bottani y A. Rizzi, “Strategic management of logistics service: A fuzzy QFD approach,” International Journal of Production Economics, vol. 103, N.° 2, 585–599, 2006.[7] E. Bottani, “A fuzzy QFD approach to achieve agility,” International Journal of Production Economics, vol. 119, N.° 2, 380–391, 2009.[8] M. Celik, C.Selcuk, C. Kahraman y E.Deha, “An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market,” Expert Systems with Applications, vol 36, N.° 3, 6227–6235, 2009.9] Y, Sohn So y I.S. Choi, “Fuzzy QFD for supply chain management with reliability consideration,” Reliability Engineering and System Safety, vol. 22, N.° 3, 327–334, 2001.[10] L-H. Chen y W-C. Ko, “A fuzzy nonlinear model for quality function deployment considering Kano’s concept,” Mathematical and Computer Modelling, vol. 48, N.° 3, 581–593, 2008.[11] H-T. Liu, “The extension of fuzzy QFD: From product planning to part deployment,” Expert Systems with Applications, vol. 36, N.° 8, 11131–11144, 2009.[12] S. H. Amin y J. Razmi, “An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation,” Expert Systems with Applications, vol. 36, N.° 4, 8639–8648, 2009.[13] D. C. Arango y C.E. Ruales, “Selección de proveedores mediante el despliegue de la función de calidad difuso,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2008.[14] D. J. Arias y M. A. Peña, “Formulación de un modelo para priorización de despacho de producto terminado en empresas manufactureras usando QFD fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2010.[15] Giraldo P y Martínez L (2009). “Propuesta de mejoramiento para el programa de ingeniería industrial de la universidad del valle utilizando QFD-fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2009.[16] M.F. Herrera y J.C. Osorio, “Modelo para la gestión de proveedores utilizando AHP difuso,” Estudios Gerenciales Universidad ICESI, N.° 99, pp. 69-88, 2006.[17] J.J. Bravo, J.P. Orejuela y J.C. Osorio, “Administración de recursos de distribución: Indicadores para la priorización en transporte,” Estudios Gerenciales Universidad ICESI, vol 33, N.° 102, pp. 101-118, 2007.[18] G. Facchinetti, “Ranking functions induced by weighted average of fuzzy numbers,” Fuzzy Sets and Systems, vol. 1, pp. 313-327, 2002.Revista Ingenierías Universidad de Medellínhttp://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://purl.org/coar/access_right/c_abf2Revista Ingenierías Universidad de Medellín; Vol. 17 Núm. 33 (2018): Julio-Diciembre; 173-186Fuzzy quality function deploymentMulti-criteria decision makingDispatch prioritizationQFDFuzzy logicDesdobramento da função da qualidade difusoTomada de decisões multicritérioPriorização de despachosQFDLógica difusaDespliegue de la función de la calidad difusoToma de decisiones multicriterioPriorización de despachosQFDLógica difusaPrioritization of Deliveries in Manufacturing Companies Using Fuzzy QFDPriorização de despachos em empresas de manufatura usando QFD difusoPriorización de despachos en empresas de manufactura usando QFD difusoArticlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Artículo científicoinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad de MedellínLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees11407/5509oai:repository.udem.edu.co:11407/55092021-05-14 14:29:49.361Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co

Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD

Publicaciones similares