Publicación: Un nuevo enfoque para el problema de localización y ruteo de vehículos en la cadena de suministros de productos perecederos
dc.contributor.advisor | Hernández Riaño, Helman Enrique | |
dc.contributor.author | Borja Arteaga, María José | |
dc.date.accessioned | 2021-04-30T13:57:40Z | |
dc.date.available | 2022-04-30 | |
dc.date.available | 2021-04-30T13:57:40Z | |
dc.date.issued | 2021-04-30 | |
dc.description.abstract | En el presente trabajo de investigación se presenta un nuevo modelo matemático bi-objetivo con base en el CLRP, enfocado a las cadenas de suministros de alimentos perecederos que busca optimizar el esfuerzo de mantenimiento de frescura, el costo de las rutas y la calidad de los productos al llegar a los clientes. Así mismo, se propone un nuevo algoritmo metaheurístico como método para buscar soluciones. La metodología de investigación que se sigue es un diseño no experimental, de manera que se pueda comparar el desempeño del algoritmo propuesto con respecto al NSGA-II bien conocido en la literatura. Los resultados muestran la validación del modelo en instancias adaptadas de la literatura; en cuanto al algoritmo propuesto se puede observar un mejor desempeño en el conjunto de instancias grandes en comparación al NSGA-II. El documento a continuación tiene las siguientes secciones 1.Generalidades, 2. Marco de referencia, 3. Metodología, 4. Descubrimientos y 5. Conclusiones. | spa |
dc.description.degreelevel | Pregrado | spa |
dc.description.degreename | Ingeniero(a) Industrial | spa |
dc.description.modality | Trabajos de Investigación y/o Extensión | spa |
dc.description.tableofcontents | 1. GENERALIDADES | spa |
dc.description.tableofcontents | 1.1 Planteamiento del problema | spa |
dc.description.tableofcontents | 1.2 Justificación | spa |
dc.description.tableofcontents | 1.3 Objetivos | spa |
dc.description.tableofcontents | 1.3.1 Objetivo General | spa |
dc.description.tableofcontents | 1.3.2 Objetivos Específicos | spa |
dc.description.tableofcontents | 2. MARCO REFERENCIAL | spa |
dc.description.tableofcontents | 2.1 Marco Conceptual | spa |
dc.description.tableofcontents | 2.1.1 Definiciones básicas: | spa |
dc.description.tableofcontents | 2.1.2 Definiciones referentes a las cadenas de suministros: | spa |
dc.description.tableofcontents | 2.1.3 Definiciones referentes a la modelación matemática de investigación de operaciones: | spa |
dc.description.tableofcontents | 2.2 Marco Teórico | spa |
dc.description.tableofcontents | 2.2.1 Definición del problema básico de Localización y Ruteo de Vehículos con capacitados. | spa |
dc.description.tableofcontents | 2.2.2 Reglas de lógica difusa | spa |
dc.description.tableofcontents | 2.2.3 Esfuerzo de mantenimiento de frescura | spa |
dc.description.tableofcontents | 2.2.4 Problema multi-objetivo | spa |
dc.description.tableofcontents | 2.3 Estado del Arte | spa |
dc.description.tableofcontents | 2.3.1 LRP para productos perecederos | spa |
dc.description.tableofcontents | 3. METODOLOGÍA | spa |
dc.description.tableofcontents | 3.1 Tipo de Estudio | spa |
dc.description.tableofcontents | 3.2 Modelo matemático propuesto | spa |
dc.description.tableofcontents | 3.3 Formulación del problema | spa |
dc.description.tableofcontents | 3.3.1 Descripción del problema | spa |
dc.description.tableofcontents | 3.3.2 Supuestos | spa |
dc.description.tableofcontents | 3.3.3 Notación | spa |
dc.description.tableofcontents | 3.3.4 Formulación matemática | spa |
dc.description.tableofcontents | 3.4 Evaluación computacional | spa |
dc.description.tableofcontents | 3.4.1 Validación del modelo | spa |
dc.description.tableofcontents | 3.4.2 NSGA-II 29 | spa |
dc.description.tableofcontents | 3.4.3 NSGRASPxLD | spa |
dc.description.tableofcontents | 3.5 Construcción de los experimentos | spa |
dc.description.tableofcontents | 3.6 Métricas | spa |
dc.description.tableofcontents | 4. RESULTADOS | spa |
dc.description.tableofcontents | 4.1 Descripción de las soluciones | spa |
dc.description.tableofcontents | 4.2 Resultados de los experimentos | spa |
dc.description.tableofcontents | 4.3 Análisis de los resultados de los experimentos | spa |
dc.description.tableofcontents | 5. CONCLUSIONES | spa |
dc.description.tableofcontents | BIBLIOGRAFÍA | spa |
dc.format.mimetype | application/pdf | spa |
dc.identifier.uri | https://repositorio.unicordoba.edu.co/handle/ucordoba/4169 | |
dc.language.iso | spa | spa |
dc.publisher.faculty | Facultad de Ingeniería | spa |
dc.publisher.place | Montería, Córdoba, Colombia | spa |
dc.publisher.program | Ingeniería Industrial | spa |
dc.rights | Copyright Universidad de Córdoba, 2021 | spa |
dc.rights.accessrights | info:eu-repo/semantics/embargoedAccess | spa |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.subject.keywords | Location routing problem | spa |
dc.subject.keywords | Metaheurístics | eng |
dc.subject.keywords | Perishable products | eng |
dc.subject.keywords | Freshness keeping effort | eng |
dc.subject.proposal | Localización y ruteo de vehículos | spa |
dc.subject.proposal | Metaheurísticas | spa |
dc.subject.proposal | Productos perecederos | spa |
dc.subject.proposal | Esfuerzo de mantenimiento de frescura | spa |
dc.title | Un nuevo enfoque para el problema de localización y ruteo de vehículos en la cadena de suministros de productos perecederos | spa |
dc.type | Trabajo de grado - Pregrado | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | spa |
dc.type.redcol | https://purl.org/redcol/resource_type/TP | spa |
dc.type.version | info:eu-repo/semantics/submittedVersion | spa |
dcterms.references | Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196, 1-20. doi:10.1016/j.ejor.2008.02.014 | spa |
dcterms.references | Albareda-Sambola, M., Juan, D., & Fernández, E. (2003). A compact model and tight bounds for a combined location-routing problem. Computers & Operations Research 32 (2005) 407–428. doi:https://doi.org/10.1016/S0305-0548(03)00245-4 | spa |
dcterms.references | Almouhanna, A., Quintero-Araujo, C. L., Panadero, J., Juan, A. A., & Khosravi, B. O. (2019). The Location Routing Problem using Electric Vehicles with Constrained Distance. Computers & Operations Research. doi:https://doi.org/10.1016/j.cor.2019.104864 | spa |
dcterms.references | Application of a Clustering Based Location-Routing Model to a Real Agri-food Supply Chain Redesign. (2013). En Advanced Methods for Computational Collective Intelligence (págs. 323-331). Studies in Computational Intelligence. doi:http://dx.doi.org/10.1007/978-3-642-34300-1_31 | spa |
dcterms.references | Bagheri-Hosseini, M., Dehghanian, F., & Salari, M. (2018). Selective capacitated location-routing problem with incentive-dependent returns in designing used products collection network. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2018.06.038 | spa |
dcterms.references | Barreto, S., Ferreira, C., Paixão, J., & SousaSantos, B. (2007). Using clustering analysis in a capacitated location-routing problem. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2005.06.074 | spa |
dcterms.references | Beneventti G, D., Bronfman, A., Paredes-Belmar, G., & Marianov, V. (2019). A multi-product maximin hazmat routing-location problem with multiple origin-destination pairs. Journal of Cleaner Production. doi:https://doi.org/10.1016/j.jclepro.2019.118193 | spa |
dcterms.references | Borges, R., Ferreira, C., & Sousa, B. (2016). A simple and effective evolutionary algorithm for the capacitated location–routing problem. Computers & Operations Research. doi:http://dx.doi.org/10.1016/j.cor.2016.01.006 | spa |
dcterms.references | Boudahri, F., Aggoune-Mtalaa, W., Bennekrouf, M., & Sari, Z. (2013). Application of a Clustering Based Location-Routing Model to a Real Agri-food Supply Chain Redesign. En N. Nguyen, T. B., K. R., & J. GS. (Edits.), Advanced Methods for Computational Collective Intelligence (Studies in Computational Intelligence ed., Vol. 457, págs. 323-331). Berlin: Springer. doi:http://dx.doi.org/10.1007/978-3-642-34300-1_31 | spa |
dcterms.references | C.Coelhoc, C. E. (2019). Schmidt, Carise E.; Silva, Arinei C.L.; Darvish, Maryam; Coelho, Leandro C. Transportation Research Part E: Logistic and Transportation Review. doi:https://doi.org/10.1016/j.tre.2019.06.015 | spa |
dcterms.references | Cai, X., Chen, J., Xiao, Y., & Xu, X. (2010). Optimization and coordination of fresh product supply chains with freshness-keeping effort. Production and Operations Management, 3, 261-278. doi:10.1111/j.1937-5956.2009.01096.x | spa |
dcterms.references | Chen, J., Dong, M., & Xu, L. (2018). A perishable product shipment consolidation model considering freshness-keeping effort. Transportation Research. doi:https://doi.org/10.1016/j.tre.2018.04.009 | spa |
dcterms.references | Chen, J., Dong, M., & Xu, L. (2018). A perishable product shipment consolidation model considering freshness-keeping effort. Transportation Research Part E. doi:https://doi.org/10.1016/j.tre.2018.04.009 | spa |
dcterms.references | Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A Fast and Elitist Multiobjetive Genetic Algorithm: NSGA-II. IEEE Transactions on evolutionary computation. doi:http://dx.doi.org/10.1109/4235.996017 | spa |
dcterms.references | Derbel, H., Jarboui, B., Hanafi, S., & Chabchoub, H. (2010). An Iterated Local Search for Solving A Location-Routing Problem. Electronic Notes in Discrete Mathematics 36 (2010) 875–882. doi:doi:10.106j.endm.2010.05.11 | spa |
dcterms.references | Díaz-Cortés, M. A., Cuevas, E., Gálvez, J., & Camarena, O. (2017). A new metaheurístic optimization methodology based on fuzzy logic. Applied Soft Computing. doi:http://dx.doi.org/10.1016/j.asoc.2017.08.038 | spa |
dcterms.references | Drexl, M., & Schneider, M. (2014). A survey of variants and extensions of the location-routing problem. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2014.08.030 | spa |
dcterms.references | Duhamel, C., Lacomme, P., Prins, C., & Prodhon, C. (2009). A GRASPXELS approach for the capacitated location-routing problem. Computers& Operations Research journal. doi:doi:10.1016/j.cor.2009.07.004 | spa |
dcterms.references | Dukkanci, O., Kara, B. Y., & Bektaş, T. (2019). The green location-routing problem. Computers & Operations Research. doi:https://doi.org/10.1016/j.cor.2019.01.011 | spa |
dcterms.references | Etebari, F. (2019). A simultaneous facility location, vehicle routing and dynamic pricing in a distribution network. Applied soft computing. doi:https://doi.org/10.1016/j.asoc.2019.105647 | spa |
dcterms.references | Fao. (2012). Pérdidas y desperdicio de alimentos en el mundo – Alcance, causas y prevención. Roma. | spa |
dcterms.references | Fazayeli, S., EydiIsa, A., & Kamalabadi, N. (2018). Location-routing problem in multimodal transportation network with time windows and fuzzy demands: Presenting a two-part genetic algorithm. Computers & Industrial Engineering. doi:https://doi.org/10.1016/j.cie.2018.03.041 | spa |
dcterms.references | Ferdi, I., & Layeb, A. (2018). A GRASP algorithm based new heuristic for the capacitated location routing problem. Journal of Experimental & Theoretical Artificial Intelligence. doi: https://doi.org/10.1080/0952813X.2017.1421268 | spa |
dcterms.references | Galarcio, J. D., Buelvas, M. P., Nisperuza, P. A., López, J. M., & Hernández, H. E. (2017). UNA NUEVA METAHEURÍSTICA APLICADA AL PROBLEMA DE RUTEO DE VEHÍCULOS CAPACITADOS (CVRP) PARA LA DISTRIBUCIÓN DE PRODUCTOS PERECEDEROS. Ingeniería e Innovación, 5, 60-72. | spa |
dcterms.references | Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple vehicle location routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics. doi:http://dx.doi.org/10.1016/j.ijpe.2013.12.028 | spa |
dcterms.references | He, Z. (2011). Performance metrics ensemble for multiobjetive evolutionary algorithms. Master of Science, Oklahoma State University, Beijing. | spa |
dcterms.references | Hernández-Sampieri, R., Fernández, C. C., & Baptista, L. M. (2014). Metodología de la investigación. México D.F.: Mc Graw Hill. | spa |
dcterms.references | Hossein, S., Doulabi, H., & Seifi, A. (2012). Lower and upper bounds for Location-arc Routing Problems with vehicle capacity constrains. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2012.06.015 | spa |
dcterms.references | ISO 9000. (2015). ISO 9000. Organización Internacional de Normalización. | spa |
dcterms.references | Jarboui, B., Derbel, H., Hanadi, S., & Mladenovic, N. (2012). Variable neighborhood search for location routing. Computers & Operations Research. doi:http://dx.doi.org/10.1016/j.cor.2012.05.009 | spa |
dcterms.references | Jouzdani, J., & Fathian, M. (2014). A linear MmTSP formulation of robust location-routing problem: a dairy products supply chain case study. doi:http://dx.doi.org/10.1504/IJADS.2014.063231 | spa |
dcterms.references | Joyanes Aguilar, L. (2008). FUNDAMENTOS DE PROGRAMACIÓN: Algortimo, estructura de datos y objetos. McGraw-Hill. | spa |
dcterms.references | Khalili-Damghani, K., & Amir-Reza, A. (2015). A New Bi-objetive Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach. Journal Math Model Algor. doi:http://dx.doi.org/10.1007/s10852-015-9274-3 | spa |
dcterms.references | Khalili-Damghani, K., Abtahi, A.-R., & Ghasemi, A. (2015). A New Bi-objective Location-routing Problem for Distribution of Perishable Products Evolutionary Computation Approach. Journal of Mathematical Modelling and Algorithms in Operations Research, 14, 287-312. doi:http://dx.doi.org/10.1007/s10852-015-9274-3 | spa |
dcterms.references | Lambert, D. M., Cooper, M. C., & Pagh, J. D. (1998). Supply Chain Management: Implementation Issues and Research Opportunities. The International Journal of Logistics Management . doi:https://doi.org/10.1108/09574099810805807 | spa |
dcterms.references | Moshref-Javadi, M., & Lee, S. (2016). The Latency Location-Routing Problem. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2016.05.048 | spa |
dcterms.references | Navazi, F., Sedeghat, A., & Tavakkoli-Moghaddam, R. (2019). A new sustainable location-routing problem with simultaneous pickup and delivery by two-compartment vehicles for a perishable product considering circular ecenomy. IFAC-PapersOnLine, 52(13), 790-795. doi:http://dx.doi.org/10.1016/j.ifacol.2019.11.212 | spa |
dcterms.references | Pichka, K., Bajgiran, A. H., E.H., P. M., Jang, J., & Yue, X. (2018). The two echelon open location routing problem: Mathematical model and hybrid heuristic. Computers & Industrial Engineering. doi:https://doi.org/10.1016/j.cie.2018.05.010 | spa |
dcterms.references | Prins, C., & Prodhon, C. (2006). Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking. 4OR (2006) 4:221–238. doi:DOI 10.1007/s10288-006-0001-9 | spa |
dcterms.references | Prins, C., Prodhon, C., & Clavo, R. W. (2006). Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking. 4OR 4, 221–238. doi:https://doi.org/10.1007/s10288-006-0001-9 | spa |
dcterms.references | Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2014.01.005 | spa |
dcterms.references | Prodhon, C., & Prins, C. P. (2014). A survey of recent research on location-problems. European Journal of Operational Research. doi:https://doi.org/10.1016/j.ejor.2014.01.005 | spa |
dcterms.references | Ramos, A., Sánchez, P. F., Barquín, J., & Linares, P. (2010). Modelos matemáticos de optimización. Universidad Pontificia Comillas Madrid. | spa |
dcterms.references | Roldán, P. N. (2017). Economipedia. Obtenido de https://economipedia.com/definiciones/cadena-de-suministro.html | spa |
dcterms.references | Rosen, K. H. (2004). Matemática Discreta y sus aplicaciones. McGraw-Hill. | spa |
dcterms.references | Scheinder, M., & Drexl, M. (2017). A survey of the standard location-routing problem. Ann Oper Res 259, 389–414. doi:DOI 10.1007/s10479-017-2509-0 | spa |
dcterms.references | Toro, E. M., Franco, J. F., Echeverri, M. G., & Guimarães, F. G. (2017). A multi-objective model for the green capacitated location-routing problem considering environmental impact. Computers and Industrial Engineering, 114-125. | spa |
dcterms.references | Toro, E. M., Franco, J. F., GranadaEcheverri, M., & GadelhaGuimarães, F. (2017). A multi-objective model for the green capacitated location-routing problem considering environmental impact. Computers & Industrial Engineering. doi:https://doi.org/10.1016/j.cie.2017.05.013 | spa |
dcterms.references | Ucha, F. (11 de febrero de 2011). Definición ABC. Obtenido de https://www.definicionabc.com/general/perecedero.php | spa |
dcterms.references | Urango, W., Hernández, H., & López, J. (2020). Un método metaheurístico para resolver el Problema de Distribución de Instalaciones de Áreas Desiguales y Dimensiones Fijas. NGE CUC, vol. 16, no. 1. doi:http://doi.org/10.17981/ingecuc.16.1.2020.04 | spa |
dcterms.references | Wang, G., Ding, P., Chen, H., & Mu, J. (2019). Green fresh product cost sharing contracts considering freshness-keeping effort. Soft Computing. doi:https://doi.org/10.1007/s00500-019-03828-4 | spa |
dcterms.references | Wang, S., Tao, F., & Shi, Y. (2018). Optimization of location-routing problem for cold chain logistics considering carbon footprint. Int. J. Environ. Res. Public Health. doi:http://dx.doi.org/10.3390/ijerph15010086 | spa |
dcterms.references | Wang, X., & Lia, X. (2017). Carbon reduction in the location routing problem with heterogeneous fleet, simultaneous pickup-delivery and time windows. Procedia Computer Science. doi:https://doi.org/10.1016/j.procs.2017.08.147 | spa |
dcterms.references | Yaghoubi, A., & Akrami, F. (2019). Proposing a new model for location-routing problem of perishable raw material suppliers with using meta-heuristic algorithms. doi:https://doi.org/10.1016/j.heliyon.2019.e03020 | spa |
dcterms.references | Yang, J., & Sun, H. (2014). Battery swap station location-routing problem with capacitated electric vehicles. Computers & Operations Research. doi:https://doi.org/10.1016/j.cor.2014.07.003 | spa |
dcterms.references | Zarandi, M. H., Hemmati, A., & Davari, S. (2011). The multi-depot capacitated location-routing problem with fuzzy travel times. Expert Systems with Applications. doi:https://doi.org/10.1016/j.eswa.2011.02.006 | spa |
dcterms.references | Zhang, B., Li, H., Li, S., & Peng, J. (2018). Sustainable multi-depot emergency facilities location-routing problem with uncertain information. Applied Mathematics and Computation. doi:https://doi.org/10.1016/j.amc.2018.03.071 | spa |
dcterms.references | Zhang, L., Guan, L., Kuo, Y.-H., & Shen, H. (2019). Push or Pull? Perishable Products with Freshness-Keeping Effort. Asia-Pacific Journal of Operational Research. doi:DOI: https://doi.org/10.1142/S0217595919500088 | spa |
dcterms.references | Zhang, S., Chen, M., & Zhang, W. (2019). A novel location-routing problem in electric vehicle transportation with stochastic demands. Journal of Cleaner Production. doi:https://doi.org/10.1016/j.jclepro.2019.02.167 | spa |
dspace.entity.type | Publication | |
oaire.accessrights | http://purl.org/coar/access_right/c_f1cf | spa |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | spa |
Archivos
Bloque original
1 - 2 de 2
Cargando...
- Nombre:
- Maria_Jose_Borja_Arteaga.pdf
- Tamaño:
- 2.69 MB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Trabajo de grado de investigación
No hay miniatura disponible
- Nombre:
- Formato de autorización.pdf
- Tamaño:
- 216.79 KB
- Formato:
- Adobe Portable Document Format
- Descripción:
- Formato de Autorización de publicación
Bloque de licencias
1 - 1 de 1
No hay miniatura disponible
- Nombre:
- license.txt
- Tamaño:
- 14.48 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: