dor_id: 4143024

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336.#.#.a: Artículo

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

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100.1.#.a: Monsreal, Mario M; Carmona Benitez, Rafael Bernardo

524.#.#.a: Monsreal, Mario M, et al. (2022). Impact of IoT on Supply Chain Performance. Journal of Applied Research and Technology; Vol. 20 Núm. 5, 2022; 584-593. Recuperado de https://repositorio.unam.mx/contenidos/4143024

245.1.0.a: Impact of IoT on Supply Chain Performance

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

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

264.#.0.c: 2022

264.#.1.c: 2022-10-31

653.#.#.a: Supply Chain Performance; Internet of Things; IoT; Simulation; Case Studies

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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520.3.#.a: Purpose To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. Design/methodology/approach System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions. Findings In general, simulation results show a positive impact on the supply chain activities where the propositions targeted. Specifically P2 better decision-making. – The study case shows better asset utilization, and reduced shipping time. However, transportation costs increase because of the lack of a decision-making system. P3 enhanced supply chain connectivity/collaboration/integration. – The study case shows that benefits of supply chain integration through demand planning can be obtained. P5 reduced lead-time. – The study Case shows a reduced shipping time when location technology and when all technologies are combined. P6 better asset utilization. – The study Case shows a higher utilization factor, hinting a better asset utilization even without a decision-making system. Research limitations/implications The models here presented are based on merged data from different sources Primary and secondary sources, and estimates based on assumptions. The mere nature of the base-data limits the precision of results. Practical implications The implementation of data collection or data transmission technologies alone is not sufficient to obtain full benefits. A decision-making processing system, that integrates the complete array of appropriated technologies, should also be implemented. This the underlying concept and the contribution of the IoT.

773.1.#.t: Journal of Applied Research and Technology; Vol. 20 Núm. 5 (2022); 584-593

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: 584-593

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

doi: https://doi.org/10.22201/icat.24486736e.2022.20.5.1957

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

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Artículo

Impact of IoT on Supply Chain Performance

Monsreal, Mario M; Carmona Benitez, Rafael Bernardo

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

Monsreal, Mario M, et al. (2022). Impact of IoT on Supply Chain Performance. Journal of Applied Research and Technology; Vol. 20 Núm. 5, 2022; 584-593. Recuperado de https://repositorio.unam.mx/contenidos/4143024

Descripción del recurso

Autor(es)
Monsreal, Mario M; Carmona Benitez, Rafael Bernardo
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Impact of IoT on Supply Chain Performance
Fecha
2022-10-31
Resumen
Purpose To increase the understanding of the IoT by demonstrating its impacts and benefits on supply chain performance. Design/methodology/approach System dynamic simulation modeling to estimate IoT impacts on supply chain performance, based on a previously proposed framework and its propositions. Findings In general, simulation results show a positive impact on the supply chain activities where the propositions targeted. Specifically P2 better decision-making. – The study case shows better asset utilization, and reduced shipping time. However, transportation costs increase because of the lack of a decision-making system. P3 enhanced supply chain connectivity/collaboration/integration. – The study case shows that benefits of supply chain integration through demand planning can be obtained. P5 reduced lead-time. – The study Case shows a reduced shipping time when location technology and when all technologies are combined. P6 better asset utilization. – The study Case shows a higher utilization factor, hinting a better asset utilization even without a decision-making system. Research limitations/implications The models here presented are based on merged data from different sources Primary and secondary sources, and estimates based on assumptions. The mere nature of the base-data limits the precision of results. Practical implications The implementation of data collection or data transmission technologies alone is not sufficient to obtain full benefits. A decision-making processing system, that integrates the complete array of appropriated technologies, should also be implemented. This the underlying concept and the contribution of the IoT.
Tema
Supply Chain Performance; Internet of Things; IoT; Simulation; Case Studies
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces