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

Environmental Research Group for Sustainable Development (GIADES)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1
Subtitle of host publication	Innovative Approaches in AI, IoT, and Software Systems
Editors	Marcelo V. Garcia, John-Paul Reyes, Carlos Nuñez, Carlos Gordón-Gallegos
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	967-980
Number of pages	14
ISBN (Print)	9783031987670
DOIs	https://doi.org/10.1007/978-3-031-98768-7_56
State	Published - 2026
Event	6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Ambato, Ecuador Duration: 21 Oct 2024 → 25 Oct 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1516 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
Country/Territory	Ecuador
City	Ambato
Period	21/10/24 → 25/10/24

Bibliographical note

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

Keywords

Automation
Discrete event simulation
FlexSim
Galvanized ducts production simulation
HVAC systems
Modeling manufacturing processes
Process optimization

Access to Document

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

Cite this

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. In 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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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.",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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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. In Garcia MV, Reyes JP, Nuñez C, Gordón-Gallegos C, editors, 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