dor_id: 45747

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/165/162

100.1.#.a: Ramírez Granados, M.; Hernández, J.E.; Lyons, A.C.

524.#.#.a: Ramírez Granados, M., et al. (2014). A Discrete-event Simulation Model for Supporting the First-tier Supplier Decision-Making in a UK’s Automotive Industry. Journal of Applied Research and Technology; Vol. 12 Núm. 5. Recuperado de https://repositorio.unam.mx/contenidos/45747

245.1.0.a: A Discrete-event Simulation Model for Supporting the First-tier Supplier Decision-Making in a UK’s Automotive Industry

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: Conceptual modelling; Simulation; automotive industry; decision-making; supply chain

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: The automotive supply chain industry is characterised for a well-known hierarchical structure, where manufacturesexchange partially their forecasting with their first-tier suppliers as a requirements demand, which implies in the mostof the cases that suppliers must be prepared for handling a variety of potential requirements. Moreover, consideringtechnological tools for handling such variety are crucial for managing efficiently the decision-making in this domain.Therefore, this paper presents a simulation-based model to support the resource allocation decision-making processin a real automotive first-tier supplier UK company. Results shown that operations management is enhanced acrossthe selected first-tier supplier by reducing the reworks, which leads to achieve its production targets.

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)70592-9

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

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

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Artículo

A Discrete-event Simulation Model for Supporting the First-tier Supplier Decision-Making in a UK’s Automotive Industry

Ramírez Granados, M.; Hernández, J.E.; Lyons, A.C.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Ramírez Granados, M., et al. (2014). A Discrete-event Simulation Model for Supporting the First-tier Supplier Decision-Making in a UK’s Automotive Industry. Journal of Applied Research and Technology; Vol. 12 Núm. 5. Recuperado de https://repositorio.unam.mx/contenidos/45747

Descripción del recurso

Autor(es)
Ramírez Granados, M.; Hernández, J.E.; Lyons, A.C.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
A Discrete-event Simulation Model for Supporting the First-tier Supplier Decision-Making in a UK’s Automotive Industry
Fecha
2014-10-01
Resumen
The automotive supply chain industry is characterised for a well-known hierarchical structure, where manufacturesexchange partially their forecasting with their first-tier suppliers as a requirements demand, which implies in the mostof the cases that suppliers must be prepared for handling a variety of potential requirements. Moreover, consideringtechnological tools for handling such variety are crucial for managing efficiently the decision-making in this domain.Therefore, this paper presents a simulation-based model to support the resource allocation decision-making processin a real automotive first-tier supplier UK company. Results shown that operations management is enhanced acrossthe selected first-tier supplier by reducing the reworks, which leads to achieve its production targets.
Tema
Conceptual modelling; Simulation; automotive industry; decision-making; supply chain
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces