dor_id: 45754

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/172/169

100.1.#.a: Molavi, M.; Hamzeli, H.; Dalfard, V.M.

524.#.#.a: Molavi, M., et al. (2014). Multi-Objective Lead-Time Control Problem with Stochastic Constraints. Journal of Applied Research and Technology; Vol. 12 Núm. 5. Recuperado de https://repositorio.unam.mx/contenidos/45754

245.1.0.a: Multi-Objective Lead-Time Control Problem with Stochastic Constraints

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-10-01

653.#.#.a: Multi-objective planning; robust optimization; lead time control; queue theory; complex assembly system

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/172

001.#.#.#: 074.oai:ojs2.localhost:article/172

041.#.7.h: eng

520.3.#.a: This research intends to find out any development of a robust multi-objective for lead time optimal control problem in amulti-stage assembly system model. Assembly system modeling is possible by the help of the open queue network. Aworking station includes one or infinite servers and just manufacturing or assembly operations are performed therein.Each part has a separate entry process and independent of each other. It is completely based upon Poissonprocess.Serving Lead Time of Stations are also independent of each other and therefore exponential distribution ofeach parameter is controllable. All stations have bounded uncertain unrecyclable wastes which are completelyindependent in compliance with Erlang distribution. Uncertainty in the problem parameters has been suggested asrobust multi-objective optimal control model in which we have three incompatible target functions including cyclicoperation cost minimization, average lead time minimization and lead time variance. Finally, target progress methodhas been applied in order to achieve serving optimal speeds and solve discrete time of the main problemapproximately. The proposed model could present a suitable solution even for the same problem as mentioned inother related papers along with some considerable results in parameter uncertainty conditions.

773.1.#.t: Journal of Applied Research and Technology; Vol. 12 Núm. 5

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(14)70599-1

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

_deleted_conflicts: 2-2bd87d0e7fdb5968ef7047234916b691

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