Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation

Eunbin Hong; June Seong Yi; Jeong Wook Son; Min Young Hong; Ye Eun Jang

doi:10.1061/9780784483978.046

Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation

Eunbin Hong, June Seong Yi, Jeong Wook Son, Min Young Hong, Ye Eun Jang

Department of Architectural & Urban Systems Engineering

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

Abstract

This study aims to develop a discrete event simulation model for improving simultaneous rebar manufacturing efficiency for multiple projects and each site. To this end, the simulation model was verified by comparing the production process and the actual rebar manufacturing plant's processing volume. Then, various alternatives for establishing an optimal production plan by identifying the loss rate and the time required to process are analyzed. When the rebar was processed by combining the two sites and setting the priority in the whole reinforcing steel processing process, the lowest loss rate occurred because the type of loss length was small. Although the ratio of raw rebar by length is less influential than the combination by site, the ratio of 2:1 of 8 m and 10 m of rebar is considered a way to optimize the production plan.

Original language	English
Title of host publication	Construction Research Congress 2022
Subtitle of host publication	Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022
Editors	Farrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
Publisher	American Society of Civil Engineers (ASCE)
Pages	441-450
Number of pages	10
ISBN (Electronic)	9780784483978
DOIs	https://doi.org/10.1061/9780784483978.046
State	Published - 2022
Event	Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022 - Arlington, United States Duration: 9 Mar 2022 → 12 Mar 2022

Publication series

Name	Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022
Volume	3-C

Conference

Conference	Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022
Country/Territory	United States
City	Arlington
Period	9/03/22 → 12/03/22

Bibliographical note

Funding Information:
This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21ORPS-B158109-02). Also, this work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22ORPS-B158109-03).

Publisher Copyright:
© 2022 © ASCE.

Access to Document

10.1061/9780784483978.046

Cite this

Hong, E., Yi, J. S., Son, J. W., Hong, M. Y., & Jang, Y. E. (2022). Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation. In F. Jazizadeh, T. Shealy, & M. J. Garvin (Eds.), Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022 (pp. 441-450). (Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022; Vol. 3-C). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784483978.046

Hong, Eunbin ; Yi, June Seong ; Son, Jeong Wook et al. / Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation. Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022. editor / Farrokh Jazizadeh ; Tripp Shealy ; Michael J. Garvin. American Society of Civil Engineers (ASCE), 2022. pp. 441-450 (Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022).

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abstract = "This study aims to develop a discrete event simulation model for improving simultaneous rebar manufacturing efficiency for multiple projects and each site. To this end, the simulation model was verified by comparing the production process and the actual rebar manufacturing plant's processing volume. Then, various alternatives for establishing an optimal production plan by identifying the loss rate and the time required to process are analyzed. When the rebar was processed by combining the two sites and setting the priority in the whole reinforcing steel processing process, the lowest loss rate occurred because the type of loss length was small. Although the ratio of raw rebar by length is less influential than the combination by site, the ratio of 2:1 of 8 m and 10 m of rebar is considered a way to optimize the production plan.",

author = "Eunbin Hong and Yi, {June Seong} and Son, {Jeong Wook} and Hong, {Min Young} and Jang, {Ye Eun}",

note = "Funding Information: This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21ORPS-B158109-02). Also, this work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22ORPS-B158109-03). Publisher Copyright: {\textcopyright} 2022 {\textcopyright} ASCE.; Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022 ; Conference date: 09-03-2022 Through 12-03-2022",

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Hong, E, Yi, JS , Son, JW, Hong, MY & Jang, YE 2022, Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation. in F Jazizadeh, T Shealy & MJ Garvin (eds), Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022. Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022, vol. 3-C, American Society of Civil Engineers (ASCE), pp. 441-450, Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials, CRC 2022, Arlington, United States, 9/03/22. https://doi.org/10.1061/9780784483978.046

Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation. / Hong, Eunbin; Yi, June Seong ; Son, Jeong Wook et al.
Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022. ed. / Farrokh Jazizadeh; Tripp Shealy; Michael J. Garvin. American Society of Civil Engineers (ASCE), 2022. p. 441-450 (Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022; Vol. 3-C).

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

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AU - Jang, Ye Eun

N1 - Funding Information: This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21ORPS-B158109-02). Also, this work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 22ORPS-B158109-03). Publisher Copyright: © 2022 © ASCE.

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N2 - This study aims to develop a discrete event simulation model for improving simultaneous rebar manufacturing efficiency for multiple projects and each site. To this end, the simulation model was verified by comparing the production process and the actual rebar manufacturing plant's processing volume. Then, various alternatives for establishing an optimal production plan by identifying the loss rate and the time required to process are analyzed. When the rebar was processed by combining the two sites and setting the priority in the whole reinforcing steel processing process, the lowest loss rate occurred because the type of loss length was small. Although the ratio of raw rebar by length is less influential than the combination by site, the ratio of 2:1 of 8 m and 10 m of rebar is considered a way to optimize the production plan.

AB - This study aims to develop a discrete event simulation model for improving simultaneous rebar manufacturing efficiency for multiple projects and each site. To this end, the simulation model was verified by comparing the production process and the actual rebar manufacturing plant's processing volume. Then, various alternatives for establishing an optimal production plan by identifying the loss rate and the time required to process are analyzed. When the rebar was processed by combining the two sites and setting the priority in the whole reinforcing steel processing process, the lowest loss rate occurred because the type of loss length was small. Although the ratio of raw rebar by length is less influential than the combination by site, the ratio of 2:1 of 8 m and 10 m of rebar is considered a way to optimize the production plan.

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Hong E, Yi JS , Son JW, Hong MY, Jang YE. Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation. In Jazizadeh F, Shealy T, Garvin MJ, editors, Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022. American Society of Civil Engineers (ASCE). 2022. p. 441-450. (Construction Research Congress 2022: Project Management and Delivery, Controls, and Design and Materials - Selected Papers from Construction Research Congress 2022). doi: 10.1061/9780784483978.046

Improving the Efficiency of Rebar Manufacturing Works for Simultaneous Multiple Projects Using Discrete Event Simulation

Abstract

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