Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm

Autores:: Jain, Mridula
Kumar, Indeewar

Tipo de recurso:: Article of journal

Fecha de publicación:: 2024

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
title	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
spellingShingle	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm Discrete Queueing inventory model Matrix geometric method Pentagonal fuzzy number Genetic algorithm Sistema de inventario con colas discretas en miniatura (DQIM), método geométrico matricial tiempo de entrega positivo número difuso pentagonal (PFN), algoritmo genético
title_short	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
title_full	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
title_fullStr	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
title_full_unstemmed	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
title_sort	Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm
dc.creator.fl_str_mv	Jain, Mridula Kumar, Indeewar
dc.contributor.author.eng.fl_str_mv	Jain, Mridula Kumar, Indeewar
dc.subject.none.fl_str_mv	Discrete Queueing inventory model Matrix geometric method Pentagonal fuzzy number Genetic algorithm Sistema de inventario con colas discretas en miniatura (DQIM), método geométrico matricial tiempo de entrega positivo número difuso pentagonal (PFN), algoritmo genético
topic	Discrete Queueing inventory model Matrix geometric method Pentagonal fuzzy number Genetic algorithm Sistema de inventario con colas discretas en miniatura (DQIM), método geométrico matricial tiempo de entrega positivo número difuso pentagonal (PFN), algoritmo genético
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-09-25 00:00:00 2026-04-16T17:28:21Z
dc.date.available.none.fl_str_mv	2024-09-25 00:00:00
dc.date.issued.none.fl_str_mv	2024-09-25
dc.type.spa.fl_str_mv	Artículo de revista
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dc.relation.references.none.fl_str_mv	Abdali, N., Heidari, S., Alipour-Vaezi, M., Jolai, F., & Aghsami, A. (2024). A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms. Kybernetes. https://doi.org/10.1108/K-07-2023-1281 Akar, N., & Dogan, O. (2021). Discrete-time queueing model of age of information with multiple information sources. IEEE Internet of Things Journal, 8(19), 14531–14542. https://doi.org/10.1109/JIOT.2021.3053768 Anilkumar, M. P., & Jose, K. P. (2022). Analysis is a discrete time queueing-inventory model with back-order of items. 3C Empresa. Investigación y Pensamiento Crítico, 11(02), 50–62. https://doi.org/10.17993/3cemp.2022.110250.50-62 Atencia, I. (2015). A discrete-time queueing system with server breakdowns and changes in the repair times. Annals of Operations Research, 235(1), 37–49. https://doi.org/10.1007/s10479-015-1940-3 Atencia, I. (2017). A Geo/G/1 retrial queueing system with priority services. European Journal of Operational Research, 256(1), 178–186. https://doi.org/10.1016/j.ejor.2016.07.011 Balagopal, N., Deepthy, C., Jayaprasad, P., & Varghese, J. (2021). Comparison of discrete time inventory systems with positive service time and lead time. Korean Journal of Mathematics, 29(2), 371–386. https://doi.org/10.11568/KJM.2021.29.2.371 Balagopal, N., Deepthy, C., Jayaprasad, P., & Varghese, J. (2020). Discrete time queueing inventory models with inventory dependent customer arrival under (s; s). Neural, Parallel, & Scientific Computations, 28(1), 13-26. https://doi.org/10.46719/npsc20202813 Jeganathan, K., Harikrishnan, T., Lakshmi, K. P., & Nagarajan, D. (2023). A multi-server retrial queueing-inventory system with asynchronous multiple vacations. Decision. Analytics Journal, 9, 100333. https://doi.org/10.1016/j.dajour.2023.100333 Jain, M., & Jain, A. (2021). Computing and analysis of multi-server queueing model using pentagonal fuzzy numbers. IOP Conference Series: Materials Science and Engineering, 1099(1), 012006. https://doi.org/10.1088/1757-899X/1099/1/012006 Jain, M., & Jain, A. (2022). Genetic algorithm in retrial queueing system with server breakdown and caller intolerance with voluntary service. International Journal of System Assurance Engineering and Management, 13(2), 582–598. https://doi.org/10.1007/s13198-021-01364-9 Ke, J.-B., Ke, J.-C., & Lin, C.-H. (2010). Cost optimization of an M/M/r queueing system with queue-dependent servers: Genetic algorithm. In: QTNA '10: Proceedings of the 5th International Conference on Queueing Theory and Network Applications (pp. 82–86). https://doi.org/10.1145/1837856.1837869 Kempa, W. M., & Paprocka, I. (2024). A Discrete-Time Queueing Model of a Bottleneck with an Energy-Saving Mechanism Based on Setup and Shutdown Times. Symmetry, 16(1), 63. https://doi.org/10.3390/sym16010063 Krishnamoorthy, A., Chakravarthy, S. R., Melikov, A., & Narayanan, V. C. (2024). Queueing-inventory: Analytical and simulation modeling and classical and retrial queues and inventory. Annals of Operations Research, 340(2–3), 1221–1224. https://doi.org/10.1007/s10479-024-06015-3 Lan, S., & Tang, Y. (2017). Performance analysis of a discrete-time queue with working breakdowns and searching for the optimum service rate in working breakdown period. Journal of Systems Science and Information, 5(2), 176–192. https://doi.org/10.21078/JSSI-2017-176-17 Narayanamoorthy, S., & Ramya, L. (2017). Multi server fuzzy queuing model using DSW algorithm with hexagonal fuzzy number. International Journal of Pure and Applied Mathematics, 117(11), 385-392. Visalakshi, V., & Suvitha, V. (2018). Performance measure of fuzzy queue using pentagonal fuzzy numbers. Journal of Physics: Conference Series, 1000, 012015. https://doi.org/10.1088/1742-6596/1000/1/012015 Xu, Y., Li, K., Hu, J., & Li, K. (2014). A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues. Information Sciences, 270, 255–287. https://doi.org/10.1016/j.ins.2014.02.122 Zhou, S., Liu, L., & Li, J. (2015). A discrete-time queue with preferred customers and partial buffer sharing. Mathematical Problems in Engineering, 2015, 1–12. https://doi.org/10.1155/2015/173938
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dc.relation.ispartofjournal.eng.fl_str_mv	Inquietud Empresarial
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dc.relation.citationedition.eng.fl_str_mv	Núm. 2 , Año 2024 : Inquietud Empresarial 24(2) July-December
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spelling	Jain, MridulaKumar, Indeewar2024-09-25 00:00:002026-04-16T17:28:21Z2024-09-25 00:00:002024-09-250121-1048https://repositorio.uptc.edu.co/handle/001/2014310.19053/uptc.01211048.178932422-3220https://doi.org/10.19053/uptc.01211048.17893application/pdftext/xmlUnidad Editorial UPTChttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/view/17893Discrete Queueing inventory modelMatrix geometric methodPentagonal fuzzy numberGenetic algorithmSistema de inventario con colas discretas en miniatura (DQIM),método geométrico matricialtiempo de entrega positivonúmero difuso pentagonal (PFN), algoritmo genéticoCost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithmArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Abdali, N., Heidari, S., Alipour-Vaezi, M., Jolai, F., & Aghsami, A. (2024). A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms. Kybernetes. https://doi.org/10.1108/K-07-2023-1281Akar, N., & Dogan, O. (2021). Discrete-time queueing model of age of information with multiple information sources. IEEE Internet of Things Journal, 8(19), 14531–14542. https://doi.org/10.1109/JIOT.2021.3053768Anilkumar, M. P., & Jose, K. P. (2022). Analysis is a discrete time queueing-inventory model with back-order of items. 3C Empresa. Investigación y Pensamiento Crítico, 11(02), 50–62. https://doi.org/10.17993/3cemp.2022.110250.50-62Atencia, I. (2015). A discrete-time queueing system with server breakdowns and changes in the repair times. Annals of Operations Research, 235(1), 37–49. https://doi.org/10.1007/s10479-015-1940-3Atencia, I. (2017). A Geo/G/1 retrial queueing system with priority services. European Journal of Operational Research, 256(1), 178–186. https://doi.org/10.1016/j.ejor.2016.07.011Balagopal, N., Deepthy, C., Jayaprasad, P., & Varghese, J. (2021). Comparison of discrete time inventory systems with positive service time and lead time. Korean Journal of Mathematics, 29(2), 371–386. https://doi.org/10.11568/KJM.2021.29.2.371Balagopal, N., Deepthy, C., Jayaprasad, P., & Varghese, J. (2020). Discrete time queueing inventory models with inventory dependent customer arrival under (s; s). Neural, Parallel, & Scientific Computations, 28(1), 13-26. https://doi.org/10.46719/npsc20202813Jeganathan, K., Harikrishnan, T., Lakshmi, K. P., & Nagarajan, D. (2023). A multi-server retrial queueing-inventory system with asynchronous multiple vacations. Decision. Analytics Journal, 9, 100333. https://doi.org/10.1016/j.dajour.2023.100333Jain, M., & Jain, A. (2021). Computing and analysis of multi-server queueing model using pentagonal fuzzy numbers. IOP Conference Series: Materials Science and Engineering, 1099(1), 012006. https://doi.org/10.1088/1757-899X/1099/1/012006Jain, M., & Jain, A. (2022). Genetic algorithm in retrial queueing system with server breakdown and caller intolerance with voluntary service. International Journal of System Assurance Engineering and Management, 13(2), 582–598. https://doi.org/10.1007/s13198-021-01364-9Ke, J.-B., Ke, J.-C., & Lin, C.-H. (2010). Cost optimization of an M/M/r queueing system with queue-dependent servers: Genetic algorithm. In: QTNA '10: Proceedings of the 5th International Conference on Queueing Theory and Network Applications (pp. 82–86). https://doi.org/10.1145/1837856.1837869Kempa, W. M., & Paprocka, I. (2024). A Discrete-Time Queueing Model of a Bottleneck with an Energy-Saving Mechanism Based on Setup and Shutdown Times. Symmetry, 16(1), 63. https://doi.org/10.3390/sym16010063Krishnamoorthy, A., Chakravarthy, S. R., Melikov, A., & Narayanan, V. C. (2024). Queueing-inventory: Analytical and simulation modeling and classical and retrial queues and inventory. Annals of Operations Research, 340(2–3), 1221–1224. https://doi.org/10.1007/s10479-024-06015-3Lan, S., & Tang, Y. (2017). Performance analysis of a discrete-time queue with working breakdowns and searching for the optimum service rate in working breakdown period. Journal of Systems Science and Information, 5(2), 176–192. https://doi.org/10.21078/JSSI-2017-176-17Narayanamoorthy, S., & Ramya, L. (2017). Multi server fuzzy queuing model using DSW algorithm with hexagonal fuzzy number. International Journal of Pure and Applied Mathematics, 117(11), 385-392.Visalakshi, V., & Suvitha, V. (2018). Performance measure of fuzzy queue using pentagonal fuzzy numbers. Journal of Physics: Conference Series, 1000, 012015. https://doi.org/10.1088/1742-6596/1000/1/012015Xu, Y., Li, K., Hu, J., & Li, K. (2014). A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues. Information Sciences, 270, 255–287. https://doi.org/10.1016/j.ins.2014.02.122Zhou, S., Liu, L., & Li, J. (2015). A discrete-time queue with preferred customers and partial buffer sharing. Mathematical Problems in Engineering, 2015, 1–12. https://doi.org/10.1155/2015/173938222124Inquietud Empresarialhttps://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/download/17893/14658https://revistas.uptc.edu.co/index.php/inquietud_empresarial/article/download/17893/16015Núm. 2 , Año 2024 : Inquietud Empresarial 24(2) July-DecemberPublicationOREORE.xmltext/xml2683https://repositorio.uptc.edu.co/bitstreams/98fcc786-5102-46c6-8713-28b7365cb7f1/download0f4f1590fe5790664b89723cb2f3d15aMD51falseAnonymousREAD001/20143oai:repositorio.uptc.edu.co:001/201432026-10-30 06:39:12.196https://creativecommons.org/licenses/by-nc-nd/4.0/metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Cost analysis of fuzzy discrete (s, S) queueing inventory system with positive lead time and optimization using genetic algorithm

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