Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción

En esta investigación se presenta el desarrollo un algoritmo heurístico basado en los principios de búsqueda tabú para la solución del problema de lotificación multinivel con restricciones de capacidad, listas de materiales alternativas y entornos de coproducción, basado en la estructura del modelo...

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Autores:
Romero Conrado, Alfonso Rafael
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2018
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/83
Acceso en línea:
https://hdl.handle.net/11323/83
https://repositorio.cuc.edu.co/
Palabra clave:
Lotificación
Multinivel
Listas de materiales alternativas
Coproducción
Lista tabú
GMOP
Multilevel
Alternate bill of materials
Coproduction
Tabu list
Lot sizing
Rights
openAccess
License
Atribución – No comercial – Compartir igual
id RCUC2_856d99f5cfb1c01367a12099fbf103eb
oai_identifier_str oai:repositorio.cuc.edu.co:11323/83
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
title Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
spellingShingle Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
Lotificación
Multinivel
Listas de materiales alternativas
Coproducción
Lista tabú
GMOP
Multilevel
Alternate bill of materials
Coproduction
Tabu list
Lot sizing
title_short Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
title_full Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
title_fullStr Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
title_full_unstemmed Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
title_sort Algoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducción
dc.creator.fl_str_mv Romero Conrado, Alfonso Rafael
dc.contributor.advisor.spa.fl_str_mv Coronado Hernández, Jairo
dc.contributor.author.spa.fl_str_mv Romero Conrado, Alfonso Rafael
dc.contributor.coasesor.spa.fl_str_mv Visbal Acevedo, Renso Raul
dc.subject.eng.fl_str_mv Lotificación
Multinivel
Listas de materiales alternativas
Coproducción
Lista tabú
GMOP
Multilevel
Alternate bill of materials
Coproduction
Tabu list
topic Lotificación
Multinivel
Listas de materiales alternativas
Coproducción
Lista tabú
GMOP
Multilevel
Alternate bill of materials
Coproduction
Tabu list
Lot sizing
dc.subject.spa.fl_str_mv Lot sizing
description En esta investigación se presenta el desarrollo un algoritmo heurístico basado en los principios de búsqueda tabú para la solución del problema de lotificación multinivel con restricciones de capacidad, listas de materiales alternativas y entornos de coproducción, basado en la estructura del modelo de Planificación de Materiales y Operaciones Genéricas GMOP propuesto en el año 2013. El algoritmo propuesto utiliza el mecanismo de memoria a corto plazo (Lista Tabú) para la selección de Strokes alternativos para la fabricación de cada producto. La validación del algoritmo se realizó analizando la calidad y los tiempos de obtención de las soluciones. El algoritmo demostró potencial al alcanzar porcentajes de diferencia entre el 10% y 17% con respecto a las soluciones óptimas en los problemas de mayor tamaño y un equilibrio entre calidad y tiempos de solución problemas relativamente pequeños.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2018-11-02T21:20:55Z
dc.date.available.none.fl_str_mv 2018-11-02T21:20:55Z
dc.date.issued.none.fl_str_mv 2018-04-11
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TP
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
format http://purl.org/coar/resource_type/c_7a1f
status_str acceptedVersion
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/83
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/83
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv Afentakis, P., Gavish, B., & Karmarkar, U. (1984). Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems. Management Science, 30(2), 222–239. http://doi.org/10.1287/mnsc.30.2.222 Akartunalı, K., & Miller, A. J. (2009). A heuristic approach for big bucket multi-level production planning problems. European Journal of Operational Research, 193(2), 396–411. http://doi.org/10.1016/j.ejor.2007.11.033 Bahl, H. C., Ritzman, L. P., & Gupta, J. N. D. (1987). OR Practice--Determining Lot Sizes and Resource Requirements: A Review. Operations Research, 35(3), 329–345. http://doi.org/10.1287/opre.35.3.329 Batista, M. B. M., & Glover, F. (2003). Búsqueda Tabú. Inteligencia Artificial: Revista Iberoamericana de Inteligencia Artificial, 7(19), 29–48. Berretta, R., França, P. M., & Armentano, V. A. (2005). Metaheuristic approaches for the multilevel resource-constrained lot-sizing problem with setup and lead times. 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G. A., Kleijnen, J. P. C., Pierreval, H., Gaury, E. G. A., Kleijnen, J. P. C., & Pierreval, H. (2016). A Multi-Class Multi-Level Capacitated Lot Sizing Model, 52(7), 789–799. Retrieved from http://www.jstor.org/stable/254215 Glover, F. (1989). Tabu Search—Part I. ORSA Journal on Computing, 1(3), 190–206. http://doi.org/10.1287/ijoc.1.3.190 Glover, F. (1990). Tabu Search—Part II. ORSA Journal on Computing, 2(1), 4–32. http://doi.org/10.1287/ijoc.2.1.4 Gopalakrishnan, M., Ding, K., Bourjolly, J.-M., & Mohan, S. (2001). A Tabu-Search Heuristic for the Capacitated Lot-Sizing Problem with Set-up Carryover. Management Science, 47(6), 851–863. http://doi.org/10.1287/mnsc.47.6.851.9813 Harris, F. W. (1913). How Many Parts to Make at Once. Operations Research, 38(6), 947–950. http://doi.org/10.1287/opre.38.6.947 Hindi, K. S. (1995). Solving the single-item, capacitated dynamic lot-sizing problem with startup and reservation costs by tabu search. Computers and Industrial Engineering, 28(4), 701– 707. http://doi.org/10.1016/0360-8352(95)00027-X Hindi, K. S. (1996). Solving the CLSP by a Tabu Search Heuristic. The Journal of the Operational Research Society, 47(1), 151–161. http://doi.org/10.2307/2584259 Hung, Y.-F., & Chien, K.-L. (2000). A Multi-Class Multi-Level Capacitated Lot Sizing Model. The Journal of the Operational Research Society, 51(11), 1309. http://doi.org/10.2307/254215 Hung, Y. F., Chen, C. P., Shih, C. C., & Hung, M. H. (2003). Using tabu search with ranking candidate list to solve production planning problems with setups. Computers and Industrial Engineering, 45(4), 615–634. http://doi.org/10.1016/j.cie.2003.09.006 Kämpf, M., & Köchel, P. (2006). Simulation-based sequencing and lot size optimisation for a production-and-inventory system with multiple items. International Journal of Production Economics, 104(1), 191–200. http://doi.org/10.1016/j.ijpe.2006.02.008 Karimi, B., Fatemi Ghomi, S. M. T., & Wilson, J. M. (2003). The capacitated lot sizing problem: a review of models and algorithms. Omega, 31(5), 365–378. http://doi.org/10.1016/S0305- 0483(03)00059-8 Karimi, B., Ghomi, S. M. T. F., & Wilson, J. M. (2006). A Tabu Search Heuristic for Solving the CLSP with Backlogging and Set-up Carry-over. The Journal of the Operational Research Society, 57(2), 140–147. http://doi.org/10.1016/j.ejor.2011.04.029 Kimms, A. (1996). Competitive methods for multi-level lot sizing and scheduling: tabu search and randomized regrets. International Journal of Production Research, 34(8), 2279–2298. http://doi.org/10.1080/00207549608905025 Kimms, A. (1999). A genetic algorithm for multi-level, multi-machine lot sizing and scheduling. Computers and Operations Research, 26(8), 829–848. http://doi.org/10.1016/S0305- 0548(98)00089-6 Kirca, O. (1990). An Efficient Algorithm for the Capacitated Single Item Dynamic Lot Sizing Problem. 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Material Requirements Planning. New York, New York, USA: McGraw-Hill. Parsopoulos, K. E., Konstantaras, I., & Skouri, K. (2015). Metaheuristic optimization for the Single-Item Dynamic Lot Sizing problem with returns and remanufacturing. Computers and Industrial Engineering, 83, 307–315. http://doi.org/10.1016/j.cie.2015.02.014 Quadt, D., & Kuhn, H. (2008). Capacitated lot-sizing with extensions: A review. 4or, 6(1), 61– 83. http://doi.org/10.1007/s10288-007-0057-1 Rius Sorolla, G., Maheut, J., Coronado-Hernandez, J., & Garcia-Sabater, J. P. (2017). Lagrangian relaxation of the GMOP model. In 11th International Conference on Industrial Engineering and Industrial Management. Valencia (Spain). Retrieved from http://www.cigip.upv.es/cio2017/wp-content/uploads/2017/07/CIO17_Full_Programme.pdf Roca Molina, A. (2016). Construcción de algoritmo aplicando relajación lagrangeana para la obtención de un límite inferior para el problema de lotificación en sistemas multinivel en entornos de coproducción y listas de materiales alternativas. Universidad Tecnológica de Bolívar. Romero-Conrado, A. R., Suárez-Agudelo, E. A., Macías-Jiménez, M. A., Gómez Charris, Y., & Lozano-Ayarza, L. P. (2017). Experimental design for obtaining compost suitable for agricultural use from Kraft paper sludge. Espacios, 38(28). Sambasivan, M., & Yahya, S. (2005). A Lagrangean-based heuristic for multi-plant, multi-item, multi-period capacitated lot-sizing problems with inter-plant transfers. Computers & Operations Research, 32(3), 537–555. http://doi.org/10.1016/j.cor.2003.08.002 SAP. (2017). Listas de materiales (PP-BD-BOM). Retrieved from http://help.sap.com/saphelp_470/helpdata/es/ea/e9bcc04c7211d189520000e829fbbd/frames et.htm Sifaleras, A., & Konstantaras, I. (2015). Variable neighborhood descent heuristic for solving reverse logistics multi-item dynamic lot-sizing problems. Computers & Operations Research, 1–8. http://doi.org/10.1016/j.cor.2015.10.004 Steinberg, E., & Napier, H. A. (1980). Optimal Multi-Level Lot Sizing for Requirements Planning Systems. Management Science, 26(12), 1258–1271. http://doi.org/10.1287/mnsc.26.12.1258 Toledo, C. F. M., de Oliveira, R. R. R., & Morelato França, P. (2013). A hybrid multi-population genetic algorithm applied to solve the multi-level capacitated lot sizing problem with backlogging. Computers and Operations Research, 40(4), 910–919. http://doi.org/10.1016/j.cor.2012.11.002 Vazsonyi, A. (1954). The Use of Mathematics in Production and Inventory Control. I. Management Science, 1(1), 70–85. Retrieved from http://www.jstor.org.consultaremota.upb.edu.co/stable/2627076 Vidal-Carreras, P. I., Garcia-Sabater, J. P., & Coronado-Hernandez, J. R. (2012). Economic lot scheduling with deliberated and controlled coproduction. European Journal of Operational Research, 219(2), 396–404. http://doi.org/10.1016/J.EJOR.2011.12.020 Wery, J., Gaudreault, J., Thomas, A., & Marier, P. (2018). Simulation-optimisation based framework for Sales and Operations Planning taking into account new products opportunities in a co-production context. Computers in Industry, 94, 41–51. http://doi.org/10.1016/J.COMPIND.2017.10.002
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spelling Coronado Hernández, JairoRomero Conrado, Alfonso RafaelVisbal Acevedo, Renso Raul2018-11-02T21:20:55Z2018-11-02T21:20:55Z2018-04-11https://hdl.handle.net/11323/83Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/En esta investigación se presenta el desarrollo un algoritmo heurístico basado en los principios de búsqueda tabú para la solución del problema de lotificación multinivel con restricciones de capacidad, listas de materiales alternativas y entornos de coproducción, basado en la estructura del modelo de Planificación de Materiales y Operaciones Genéricas GMOP propuesto en el año 2013. El algoritmo propuesto utiliza el mecanismo de memoria a corto plazo (Lista Tabú) para la selección de Strokes alternativos para la fabricación de cada producto. La validación del algoritmo se realizó analizando la calidad y los tiempos de obtención de las soluciones. El algoritmo demostró potencial al alcanzar porcentajes de diferencia entre el 10% y 17% con respecto a las soluciones óptimas en los problemas de mayor tamaño y un equilibrio entre calidad y tiempos de solución problemas relativamente pequeños.This research shows the development process of a heuristic algorithm based on the principles of taboo search for the solution of the capacitated multilevel lot sizing problem with alternate bill of materials and co-production environments, based on the structure of the Generic Materials and Operations Planning model (GMOP). The proposed algorithm uses the short-term memory mechanism (Taboo List) for the selection of alternate strokes to produce each product. The validation of the algorithm was carried out analyzing the quality and the solution times. The algorithm demonstrated potential by reaching difference percentages around 10% and 17% compared with optimal solutions in large problems and a balance between quality and solution times when is used in relatively small problems.Romero Conrado, Alfonso Rafael-0000-0003-4603-0785-600spaUniversidad de la CostaMaestría en IngenieríaAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2LotificaciónMultinivelListas de materiales alternativasCoproducciónLista tabúGMOPMultilevelAlternate bill of materialsCoproductionTabu listLot sizingAlgoritmo heurístico basado en listas tabú para la planificación de la producción en sistemas multinivel con listas de materiales alternativas y entornos de coproducciónTrabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1fTextinfo:eu-repo/semantics/bachelorThesishttp://purl.org/redcol/resource_type/TPinfo:eu-repo/semantics/acceptedVersionAfentakis, P., Gavish, B., & Karmarkar, U. 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Computers in Industry, 94, 41–51. http://doi.org/10.1016/J.COMPIND.2017.10.002PublicationORIGINAL1042350858.pdf1042350858.pdfapplication/pdf3098596https://repositorio.cuc.edu.co/bitstreams/8adfd39f-c386-49e4-868c-35ff15aedb3c/download2abf97fdb7fde5666debe3184a097e3fMD51Algoritmo Listas Tabu-20230808T193028Z-001.zipAlgoritmo Listas Tabu-20230808T193028Z-001.zip.zipapplication/zip1183546https://repositorio.cuc.edu.co/bitstreams/973e117f-860d-4c5c-99be-222e8498785e/download8cc4f4fd48556b5099fa88c5579ddac0MD57LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/a2af9259-db52-4ab6-a078-84bf979396b2/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAIL1042350858.pdf.jpg1042350858.pdf.jpgimage/jpeg26592https://repositorio.cuc.edu.co/bitstreams/01d5138d-f4a1-4cdd-b45e-4c3557132598/downloadd1a98871cf19a7e24de3754c472a22ddMD55TEXT1042350858.pdf.txt1042350858.pdf.txttext/plain196833https://repositorio.cuc.edu.co/bitstreams/c7275c6a-a44e-4082-9f6b-cbaa7da3da92/downloadbe973e7318d561d0d8cf55a825c6cba2MD5611323/83oai:repositorio.cuc.edu.co:11323/832024-09-17 14:15:20.427open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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