Chapter
Mar 7, 2022

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

Publication: Construction Research Congress 2022

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.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Asri, M. A. N. M., Nawi, M. N. M., Nadarajan, S., Osman, W. N., and Harun, A. N. (2016). Success factors of JIT integration with IBS construction projects–A literature review. International Journal of Supply Chain Management, 5(2), 71–76.
Benjaoran, V., and Bhokha, S. (2014). Three-step solutions for cutting stock problem of construction steel bars. KSCE Journal of Civil Engineering, 18(5), 1239–1247.
Polat, G., Arditi, D., and Mungen, U. (2007). Simulation-based decision support system for economical supply chain management of rebar. Journal of Construction Engineering and Management, 133(1), 29–39.
Mishra, S. P., Parbat, D. K., and Modak, J. P. (2014). Field data-based mathematical simulation of manual rebar cutting. Journal of Construction in Developing Countries, 19(1), 111.
Nadoushani, Z. S. M., Hammad, A. W., Xiao, J., and Akbarnezhad, A. (2018). Minimizing cutting wastes of reinforcing steel bars through optimizing lap splicing within reinforced concrete elements. Construction and Building Materials, 185, 600–608.
Salem, O., Shahin, A., and Khalifa, Y. (2007). Minimizing cutting wastes of reinforcement steel bars using genetic algorithms and integer programming models. Journal of construction engineering and management, 133(12), 982–992.
Zekavat, P. R., Moon, S., and Bernold, L. E. (2015). Holonic construction management: Unified framework for ICT-supported process control. Journal of Management in Engineering, 31(1), A4014008.
Zheng, C., Yi, C., and Lu, M. (2019). Integrated optimization of rebar detailing design and installation planning for waste reduction and productivity improvement. Automation in Construction, 101, 32–47.

Information & Authors

Information

Published In

Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 441 - 450

History

Published online: Mar 7, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Eunbin Hong [email protected]
1M.S. Student, Dept. of Architectural and Urban Engineering, Ewha Womans Univ., Seoul, Korea. Email: [email protected]
June-Seong Yi, Ph.D. [email protected]
2Professor, Dept. of Architectural and Urban Engineering, Ewha Womans Univ., Seoul, Korea. Email: [email protected]
JeongWook Son, Ph.D. [email protected]
3Associate Professor, Dept. of Architectural and Urban Engineering, Ewha Womans Univ., Seoul, Korea. Email: [email protected]
5Ph.D. Student, Dept. of Architectural and Urban Engineering, Ewha Womans Univ., Seoul, Korea. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$226.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$226.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share