Mostrar el registro sencillo del ítem
Propuesta de evaluación de la madurez logística de micro, pequeñas y medianas empresas basado en lógica difusa
dc.rights.license | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | spa |
dc.contributor.author | Márquez, Mateo | |
dc.contributor.author | Carmona González, Guillermo L | |
dc.contributor.author | Castro-Zuluaga, Carlos A. | |
dc.date.accessioned | 2023-02-15T16:54:30Z | |
dc.date.available | 2023-02-15T16:54:30Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | M. Márquez Gutiérrez, G. Leon Carmona & C. Castro Zuluaga, “Propuesta de evaluación de la madurez logística de Micro, Pequeñas y Medianas Empresas basado en lógica difusa,” INGE CUC, vol. 18, no. 1, pp. 180–194, 2022. DOI: http://doi.org/10.17981/ingecuc.18.1.2022.14 | spa |
dc.identifier.issn | 0122-6517 | spa |
dc.identifier.uri | https://hdl.handle.net/11323/9911 | |
dc.description.abstract | Introducción— El manejo eficiente de la logística empresarial es un factor determinante en la globalización y modernización de las empresas, en especial para aquellas clasificadas como micro, pequeñas y medianas empresas (Mipymes). Un primer paso en este sentido evaluar el estado actual de la madurez de los procesos logísticos. Actualmente existen diversos modelos que permiten evaluar la madurez de los procesos, y sin embargo, no están orientados a los procesos logísticos, y su forma de evaluar las dimensiones del modelo, pueden presentar incertidumbres o ambigüedades. Objetivo— Proponer una metodología para evaluar la madurez de los procesos logísticos en Mipymes, mediante un sistema de inferencia difusa que apoye el proceso de toma de decisiones. Metodología— La metodología de investigación es de tipo cuantitativo-explicativo y el método es de carácter empírico-descriptivo, en donde a partir de entrevistas personales realizadas con expertos de diferentes áreas de la logística, se definen las reglas base del Sistema de Inferencia Difusa (FIS) que alimentan el modelo propuesto para evaluar el nivel de madurez de micro y pequeñas empresas en dos dimensiones de la gestión logística. Finalmente se realiza una prueba piloto para evaluar la efectividad y aplicabilidad del modelo. Resultados— Se propone un modelo de madurez empírico para la evaluación de los procesos logísticos en Mipymes. Este incluye un Sistema de Inferencia Difusa (FIS) para la evaluación de las dimensiones del modelo propuesto, basado en el criterio de tomadores de decisiones expertos. El modelo cuanta con una matriz para clasificar el desempeño logístico de la empresa según el resultado obtenido por el FIS. Para evaluar el desempeño del modelo se realiza una prueba piloto realizado a un grupo de tres Mipymes manufactureras. Conclusiones— El modelo de madurez soportado en la lógica difusa permitió soportar la incertidumbre y la ambigüedad dada por la calificación de la madurez de los procesos de la empresa. El sistema de inferencia difusa toma la ambigüedad, y con ayuda de las reglas del sistema de inferencia planteadas, brinda una evaluación objetiva y ágil de las dimensiones propuestas por el modelo de madurez. Finalmente, la metodología desarrollada permite llevar la experiencia de expertos al alcance de Mipymes. | spa |
dc.description.abstract | Introduction— The efficient management of business logistics is a determining factor in the globalization and modernization of companies, especially for those classified as micro, small and medium-sized enterprises (MSMEs). A first step in this regard to assess the current state of maturity of logistics processes. Currently there are various models that allow evaluating the maturity of the processes, however, they are not oriented to logistics processes, and their way of evaluating the dimensions of the model may be to present uncertainties or ambiguities. Objective— To propose a methodology to evaluate the maturity of logistics processes in MSMEs, through a fuzzy inference system that supports the decision-making process. Methodology— The research methodology is quantitativeexplanatory and the method is empirical-descriptive, where, based on personal interviews with experts from different areas of logistics, the basic rules of the Fuzzy Inference System (FIS) are defined that feed the proposed model to evaluate the level of maturity of micro and small companies in two dimensions of logistics management. Finally, a pilot test is carried out to evaluate the effectiveness and applicability of the model. Results— An empirical maturity model is proposed for the evaluation of the logistics processes of MSMEs. This model includes a Fuzzy Inference System (FIS) for evaluating the dimensions of the proposed model, based on the criteria of expert decision makers. The model has a matrix to classify the logistics performance of the company according to the result obtained by the FIS. To evaluate the performance of the model, a pilot test was carried out on a group of three manufacturing MSMEs. Conclusions— The maturity model supported by the fuzzy logic allowed to support the uncertainty and ambiguity given by the qualification of the maturity of the company’s processes. The fuzzy inference system took the ambiguity, and with the help of the rules of the inference system raised, it offered an objective and agile evaluation of the dimensions proposed by the maturity model. Finally, the methodology developed allows to bring the experience of experts to the reach of MSMEs. | eng |
dc.format.extent | 15 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Corporación Universidad de la Costa | spa |
dc.rights | Derechos de autor 2021 INGE CUC | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.source | https://revistascientificas.cuc.edu.co/ingecuc/article/view/2885 | spa |
dc.title | Propuesta de evaluación de la madurez logística de micro, pequeñas y medianas empresas basado en lógica difusa | |
dc.type | Artículo de revista | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.identifier.doi | 10.17981/ingecuc.18.1.2022.14 | |
dc.identifier.eissn | 2382-4700 | spa |
dc.identifier.instname | Corporación Universidad de la Costa | spa |
dc.identifier.reponame | REDICUC - Repositorio CUC | spa |
dc.identifier.repourl | https://repositorio.cuc.edu.co/ | spa |
dc.publisher.place | Colombia | spa |
dc.relation.ispartofjournal | INGE CUC | spa |
dc.relation.references | [1] J. W. M. Bertrand & J. C. Fransoo, “Operations management research methodologies using quantitative modeling,” Int J Oper Prod Manag, vol 22, no. 2, pp. 241–264, Feb. 2002. https://doi. org/10.1108/01443570210414338 | spa |
dc.relation.references | [2] M. Tracey, “The Importance of Logistics Efficiency to Customer Service and Firm Performance,” Int J Logist Manag, vol. 9, no. 2, pp. 65–81, Jul. 1998. https://doi.org/10.1108/09574099810805843 | spa |
dc.relation.references | [3] K. Green, G. Whitten & R. Inman, “The impact of logistics performance on organizational performance in a supply chain context,” Int J Supply Chain Manag, vol. 13, no 4, pp. 317–327, Jun. 2008. https://doi. org/10.1108/13598540810882206 | spa |
dc.relation.references | [4] DNP, Encuesta Nacional Logística 2018. BO, CO: DNP, 2018. Disponible en https://www.dnp.gov.co/ Paginas/DNP-puso-en-marcha-la-Encuesta-Nacional-Log%C3%ADstica-2018.aspx | spa |
dc.relation.references | [5] T. Tokar, “Behavioural research in logistics and supply chain management,” Int J Logist Manag, vol. 21, no. 1, pp. 89–103, May. 2010. https://doi.org/10.1108/09574091011042197 | spa |
dc.relation.references | [6] R. Puertas, L. Martí & L. García, “Logistics performance and export competitiveness: European experience,” Empirica, vol. 41, no. 3, pp. 467–480, Aug. 2014. https://doi.org/10.1007/s10663-013-9241-z | spa |
dc.relation.references | [7] L. Martí, R. Puertas & L. García, “The importance of the Logistics Performance Index in international trade”, Appl Econ, vol. 46, no. 24, pp. 2982–2992, May. 2014. https://doi.org/10.1080/00036846.2014.916 394 | spa |
dc.relation.references | [8] L. J. Branicki, B. Sullivan-Taylor & S. R. Livschitz, “How entrepreneurial resilience generates resilient SMEs,” Int J Entrep Behav Res, vol. 24, no. 7, pp. 1244–1263, Nov. 2018. https://doi.org/10.1108/ IJEBR-11-2016-0396 | spa |
dc.relation.references | [9] E. Pérez-Mergarejo, I. Pérez-Vergara y Y. Rodríguez-Ruíz, “Modelos de madurez y su idoneidad para aplicar en pequeñas y medianas empresas,” II, vol. 35, no. 2, pp. 146–158, Ago. 2014. Disponible en https://rii.cujae.edu.cu/index.php/revistaind/article/view/651 | spa |
dc.relation.references | [10] CMMI Product Team, CMMI for Development, Version 1.3: Improving Processed for Better Products and Services. CMU, PITT, PA, Technical Report, 2010. Available: https://resources.sei.cmu.edu/asset_ files/technicalreport/2010_005_001_15287.pdf | spa |
dc.relation.references | [11] L. A. Zadeh, “Fuzzy sets as a basis for a theory of possibility,” Fuzzy Sets Syst, vol. 1, no. 1, pp. 3–28, Jan. 1978. https://doi.org/10.1016/0165-0114(78)90029-5 | spa |
dc.relation.references | [12] H. Zimmermann, Fuzzy set theory—and its applications, 4 ed., NY, USA: Springer, 2011. https://cours. etsmtl.ca/sys843/REFS/Books/ZimmermannFuzzySetTheory2001.pdf | spa |
dc.relation.references | [13] W. P. Wang, “A fuzzy linguistic computing approach to supplier evaluation,” Appl Math Model, vol. 34, no. 10, pp. 3130–3141, Oct. 2010. https://doi.org/10.1016/j.apm.2010.02.002 | spa |
dc.relation.references | [14] L. A. Zadeh, Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems. Selected Papers by Lotfi A Zadeh. SGP, SGP: WSPC, 1996. https://doi.org/10.1142/2895 | spa |
dc.relation.references | [15] F. Herrera & L. Martínez, “A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making,” IEEE Trans. Syst. Man, Cybern Part B Cybern, vol. 31, no. 2, pp. 227–234, Apr. 2001. https://doi.org/10.1109/3477.915345 | spa |
dc.relation.references | [16] L. Osiro, F. Lima-Junior & L. Carpinetti, “A fuzzy logic approach to supplier evaluation for development,” Int J Prod Econ, vol. 153, pp. 95–112, Jul. 2014. https://doi.org/10.1016/j.ijpe.2014.02.009 | spa |
dc.relation.references | [17] F. Ahmed, L. F. Capretz & J. Samarabandu, “Fuzzy inference system for software product family process evaluation,” Inf Sci, vol. 178, no. 13, pp. 2780–2793, Jul. 2008. https://doi.org/10.1016/j.ins.2008.03.002 | spa |
dc.relation.references | [18] C. Belotti, L. Del Rosso, F. Lima, A. Lago & L. Carpinetti, “Proposal of a model for sales and operations planning (S&OP) maturity evaluation,” Prod., vol. 27, pp. 1–17, Nov. 2017. https://doi.org/10.1590/0103- 6513.20170024 | spa |
dc.relation.references | [19] A. dos Santos, L. Felix & J. Vieira, “Estudo da logística de distribuição física de um laticínio utilizando lógica fuzzy,” Prod, vol. 22, no. 3, pp. 576–583, Ago. 2012. https://doi.org/10.1590/S0103-65132012005000036 | spa |
dc.relation.references | [20] E. H. Mamdani & S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller,” Int. J Man Mach Stud, vol. 7, no. 1, pp. 1–13, Jan. 1975. https://doi.org/10.1016/S0020-7373(75)80002-2 | spa |
dc.relation.references | [21] A. Amindoust, S. Ahmed, A. Saghafinia & A. Bahreininejad, “Sustainable supplier selection: A ranking model based on fuzzy inference system,” Appl Soft Comput, vol. 12, pp. 1668–1677, Jun. 2012. https:// doi.org/10.1016/j.asoc.2012.01.023 | spa |
dc.relation.references | [22] F. Junior, L. Osiro & L. Carpinetti, “A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules,” Appl Soft Comput J, vol. 13, no. 10, pp. 4133–4147, Oct. 2013. https://doi.org/10.1016/j.asoc.2013.06.020 | spa |
dc.relation.references | [23] Y. Chan, N. Bhargava & C. Street, “Having arrived: The homogeneity of high-growth small firms,” J Small Bus Manag, vol. 44, no. 3, pp. 426–440, Jul. 2006. https://doi.org/10.1111/j.1540-627X.2006.00180.x | spa |
dc.relation.references | [24] R. Gélinas & Y. Bigras, “The characteristics and features of SMEs: favorable or unfavorable to logistics integration,” J Small Bus Manag, vol. 42, no. 3, pp. 263–278, Jul. 2004. https://doi.org/10.1111/j.1540- 627X.2004.00111.x | spa |
dc.relation.references | [25] T. Chin, A. Hamid, A. Rasli & R. Baharun, “Adoption of supply chain management in SMEs”, Procedia Soc Behav Sci, vol. 65, pp. 614–619, Dec. 2012. https://doi.org/10.1016/j.sbspro.2012.11.173 | spa |
dc.relation.references | [26] A. Engelen, F. Heinemann & M. Brettel, “Cross-cultural entrepreneurship research: Current status and framework for future studies,” J Int Entrep, vol. 7, no. 3, pp. 163–189, Sep. 2009. https://doi.org/10.1007/ s10843-008-0035-5 | spa |
dc.relation.references | [27] B. Asdecker & V. Felch, “Development of an Industry 4.0 maturity model for the delivery process in supply chains”, J Model Manag. vol. 13, no. 4, pp. 840–883, Nov. 2018. https://doi.org/10.1108/JM2-03-2018- 0042 | spa |
dc.relation.references | [28] R. Caiado, L. Scavarda, L. Gavião, P. Ivson, D. de Mattos Nascimento & J. Garza-Reyes, “A fuzzy rulebased industry 4.0 maturity model for operations and supply chain management”, Int J Prod Econ, vol. 231, pp. 1–17, Jan. 2021. https://doi.org/10.1016/j.ijpe.2020.107883 | spa |
dc.subject.proposal | Evaluación | spa |
dc.subject.proposal | Gestión industrial | spa |
dc.subject.proposal | Lógica matemática | spa |
dc.subject.proposal | Modelo matemático | spa |
dc.subject.proposal | Pequeña empresa | spa |
dc.subject.proposal | Evaluation | eng |
dc.subject.proposal | Industrial Management | eng |
dc.subject.proposal | Mathematical logic | eng |
dc.subject.proposal | Mathematical models | eng |
dc.subject.proposal | Small enterprises | eng |
dc.title.translated | Evaluation proposal of the logistic maturity of micro, small and medium enterprises based on fuzzy logic | |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |
dc.relation.citationendpage | 194 | spa |
dc.relation.citationstartpage | 180 | spa |
dc.relation.citationissue | 1 | spa |
dc.relation.citationvolume | 18 | spa |
dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Revistas Científicas [1682]
Artículos de investigación publicados en revistas pertenecientes a la Editorial EDUCOSTA.