Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software

Stephanie Alexandra Tasigchana Falcon; Juan Gabriel Mollocana Lara; Anderson Steve Caranqui Chanalata

doi:10.1007/978-3-031-98768-7_56

Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software

Stephanie Alexandra Tasigchana Falcon
, Juan Gabriel Mollocana Lara
, Anderson Steve Caranqui Chanalata

Grupo de Investigación Ambiental para el Desarrollo Sustentable (GIADES)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

This study examines Ecuador’s heating, ventilation, and air conditioning company that manually manufactures galvanized iron ducts. The company has been struggling to meet production orders due to a bottleneck in the manual bending process. By modeling and validating the duct production process using FlexSim and simulating the replacement of the manual bending machine with a hydraulic bending machine, the study found that this automation could significantly increase daily production from 20 to 31 ducts. This improvement reduces process downtime and greatly enhances overall efficiency, providing a clear path forward for the company. The production process model was validated through a confidence interval generated from 100 iterations, achieving a 95% confidence interval of 20.23 ± 1.22 ducts per day. This validation confirms the model’s accuracy in comparison to the actual production rate of 20 ducts per day.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1
Subtítulo de la publicación alojada	Innovative Approaches in AI, IoT, and Software Systems
Editores	Marcelo V. Garcia, John-Paul Reyes, Carlos Nuñez, Carlos Gordón-Gallegos
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	967-980
Número de páginas	14
ISBN (versión impresa)	9783031987670
DOI	https://doi.org/10.1007/978-3-031-98768-7_56
Estado	Publicada - 2026
Evento	6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Ambato, Ecuador Duración: 21 oct. 2024 → 25 oct. 2024

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	1516 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
País/Territorio	Ecuador
Ciudad	Ambato
Período	21/10/24 → 25/10/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Acceder al documento

10.1007/978-3-031-98768-7_56

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Enlace a la publicación en Scopus

Citar esto

Tasigchana Falcon, S. A., Mollocana Lara, J. G., & Caranqui Chanalata, A. S. (2026). Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software. En M. V. Garcia, J.-P. Reyes, C. Nuñez, & C. Gordón-Gallegos (Eds.), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1: Innovative Approaches in AI, IoT, and Software Systems (pp. 967-980). (Lecture Notes in Networks and Systems; Vol. 1516 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-98768-7_56

Tasigchana Falcon, Stephanie Alexandra ; Mollocana Lara, Juan Gabriel ; Caranqui Chanalata, Anderson Steve. / Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software. Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1: Innovative Approaches in AI, IoT, and Software Systems. editor / Marcelo V. Garcia ; John-Paul Reyes ; Carlos Nuñez ; Carlos Gordón-Gallegos. Springer Science and Business Media Deutschland GmbH, 2026. pp. 967-980 (Lecture Notes in Networks and Systems).

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title = "Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software",

abstract = "This study examines Ecuador{\textquoteright}s heating, ventilation, and air conditioning company that manually manufactures galvanized iron ducts. The company has been struggling to meet production orders due to a bottleneck in the manual bending process. By modeling and validating the duct production process using FlexSim and simulating the replacement of the manual bending machine with a hydraulic bending machine, the study found that this automation could significantly increase daily production from 20 to 31 ducts. This improvement reduces process downtime and greatly enhances overall efficiency, providing a clear path forward for the company. The production process model was validated through a confidence interval generated from 100 iterations, achieving a 95\% confidence interval of 20.23 ± 1.22 ducts per day. This validation confirms the model{\textquoteright}s accuracy in comparison to the actual production rate of 20 ducts per day.",

keywords = "Automation, Discrete event simulation, FlexSim, Galvanized ducts production simulation, HVAC systems, Modeling manufacturing processes, Process optimization",

author = "\{Tasigchana Falcon\}, \{Stephanie Alexandra\} and \{Mollocana Lara\}, \{Juan Gabriel\} and \{Caranqui Chanalata\}, \{Anderson Steve\}",

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Tasigchana Falcon, SA, Mollocana Lara, JG & Caranqui Chanalata, AS 2026, Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software. En MV Garcia, J-P Reyes, C Nuñez & C Gordón-Gallegos (eds.), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1: Innovative Approaches in AI, IoT, and Software Systems. Lecture Notes in Networks and Systems, vol. 1516 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 967-980, 6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024, Ambato, Ecuador, 21/10/24. https://doi.org/10.1007/978-3-031-98768-7_56

Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software. / Tasigchana Falcon, Stephanie Alexandra; Mollocana Lara, Juan Gabriel; Caranqui Chanalata, Anderson Steve.
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1: Innovative Approaches in AI, IoT, and Software Systems. ed. / Marcelo V. Garcia; John-Paul Reyes; Carlos Nuñez; Carlos Gordón-Gallegos. Springer Science and Business Media Deutschland GmbH, 2026. p. 967-980 (Lecture Notes in Networks and Systems; Vol. 1516 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Tasigchana Falcon, Stephanie Alexandra

AU - Mollocana Lara, Juan Gabriel

AU - Caranqui Chanalata, Anderson Steve

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - This study examines Ecuador’s heating, ventilation, and air conditioning company that manually manufactures galvanized iron ducts. The company has been struggling to meet production orders due to a bottleneck in the manual bending process. By modeling and validating the duct production process using FlexSim and simulating the replacement of the manual bending machine with a hydraulic bending machine, the study found that this automation could significantly increase daily production from 20 to 31 ducts. This improvement reduces process downtime and greatly enhances overall efficiency, providing a clear path forward for the company. The production process model was validated through a confidence interval generated from 100 iterations, achieving a 95% confidence interval of 20.23 ± 1.22 ducts per day. This validation confirms the model’s accuracy in comparison to the actual production rate of 20 ducts per day.

AB - This study examines Ecuador’s heating, ventilation, and air conditioning company that manually manufactures galvanized iron ducts. The company has been struggling to meet production orders due to a bottleneck in the manual bending process. By modeling and validating the duct production process using FlexSim and simulating the replacement of the manual bending machine with a hydraulic bending machine, the study found that this automation could significantly increase daily production from 20 to 31 ducts. This improvement reduces process downtime and greatly enhances overall efficiency, providing a clear path forward for the company. The production process model was validated through a confidence interval generated from 100 iterations, achieving a 95% confidence interval of 20.23 ± 1.22 ducts per day. This validation confirms the model’s accuracy in comparison to the actual production rate of 20 ducts per day.

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KW - Discrete event simulation

KW - FlexSim

KW - Galvanized ducts production simulation

KW - HVAC systems

KW - Modeling manufacturing processes

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DO - 10.1007/978-3-031-98768-7_56

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AN - SCOPUS:105030277158

SN - 9783031987670

T3 - Lecture Notes in Networks and Systems

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BT - Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1

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Tasigchana Falcon SA, Mollocana Lara JG, Caranqui Chanalata AS. Comparative Study of Optimization Strategies of Galvanized Steel Ventilation Duct Production Using Discrete Event Simulation Software. En Garcia MV, Reyes JP, Nuñez C, Gordón-Gallegos C, editores, Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1: Innovative Approaches in AI, IoT, and Software Systems. Springer Science and Business Media Deutschland GmbH. 2026. p. 967-980. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-98768-7_56