dor_id: 4143034

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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

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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

harvesting_group: RevistasUNAM

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

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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/2183/974

100.1.#.a: Rios Esparza, G A; Segura Pérez, E

524.#.#.a: Rios Esparza, G A, et al. (2023). A Proposal of a simulation-optimization methodology for allocation of agencies with human resources on hexagonal tessellation. Journal of Applied Research and Technology; Vol. 21 Núm. 1, 2023; 106-122. Recuperado de https://repositorio.unam.mx/contenidos/4143034

245.1.0.a: A Proposal of a simulation-optimization methodology for allocation of agencies with human resources on hexagonal tessellation

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

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

264.#.0.c: 2023

264.#.1.c: 2023-02-27

653.#.#.a: Multi-criteria allocation; tessellation; human resources allocation

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 human resource assignment usually considers the search, qualification, selection, and allocation of human resources commonly based on their experience and professional development into different areas of a company. Rarely, the residence location and other characteristics of the personnel are considered.This paper takes a real case allocation problem from a public university social service program in Mexico City where the assignment process is restarted every six months. The lack of consideration of the personnel physical and functional attributes, led to an inefficient allocation process, increasing desertion of the program. To solve this problem, we propose a new methodology built on hexagonal tessellation capable of allocating personnel based on distance, schedules, and skills, which is later improved using simulation, reducing total travel distance in 585 km, improving matching schedules in 26%, matching skills in 37% and reduced the time dedicated to the allocation process from 5 days to 90 minutes.

773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 1 (2023); 106-122

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

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

310.#.#.a: Bimestral

300.#.#.a: Páginas: 106-122

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

doi: https://doi.org/10.22201/icat.24486736e.2023.21.1.2183

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

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Artículo

A Proposal of a simulation-optimization methodology for allocation of agencies with human resources on hexagonal tessellation

Rios Esparza, G A; Segura Pérez, E

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

Rios Esparza, G A, et al. (2023). A Proposal of a simulation-optimization methodology for allocation of agencies with human resources on hexagonal tessellation. Journal of Applied Research and Technology; Vol. 21 Núm. 1, 2023; 106-122. Recuperado de https://repositorio.unam.mx/contenidos/4143034

Descripción del recurso

Autor(es)
Rios Esparza, G A; Segura Pérez, E
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
A Proposal of a simulation-optimization methodology for allocation of agencies with human resources on hexagonal tessellation
Fecha
2023-02-27
Resumen
The human resource assignment usually considers the search, qualification, selection, and allocation of human resources commonly based on their experience and professional development into different areas of a company. Rarely, the residence location and other characteristics of the personnel are considered.This paper takes a real case allocation problem from a public university social service program in Mexico City where the assignment process is restarted every six months. The lack of consideration of the personnel physical and functional attributes, led to an inefficient allocation process, increasing desertion of the program. To solve this problem, we propose a new methodology built on hexagonal tessellation capable of allocating personnel based on distance, schedules, and skills, which is later improved using simulation, reducing total travel distance in 585 km, improving matching schedules in 26%, matching skills in 37% and reduced the time dedicated to the allocation process from 5 days to 90 minutes.
Tema
Multi-criteria allocation; tessellation; human resources allocation
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces