Multi-Objective Lead-Time Control Problem with Stochastic Constraints
Molavi, M.; Hamzeli, H.; Dalfard, V.M.
Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM
dor_id: 45754
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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
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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
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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
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Molavi, M.; Hamzeli, H.; Dalfard, V.M.
Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM
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