Rebar Fabrication Plan to Enhance Production Efficiency for Simultaneous Multiple Projects

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

Research output: Contribution to journalArticlepeer-review


A discrete-event simulation (DES) model was developed to enhance the reinforcing bar (rebar) fabrication efficiency for multiple simultaneous projects at different sites. The production volume and procedure of the actual rebar fabrication plant were compared to the simulation model to ensure its accuracy. By determining the loss rate and necessary processing time, the fabrication plan was then optimized. The rebar type and machine features, which influence the loss rate and time required for rebar fabrication, were configured as the parameters in a discrete-event simulation model. The model considers a situation in which a rebar fabrication plant simultaneously delivers rebars to multiple sites. In this manner, the model can quantify the loss rate and time required in the fabrication process. The determination of the loss rate according to the import ratio of raw steel, site combination, and length can help optimize the rebar fabrication plan and increase work efficiency. In the considered scenario, a two-site combination and import ratio of raw steel of 2:1 (8 m:10 m) was noted to corresponded to the maximum decrease in the loss rate and required time. By extending the proposed approach to the complete rebar process (processing–transportation–construction), the plant member production process can be optimized.

Original languageEnglish
Article number9183
JournalApplied Sciences (Switzerland)
Issue number18
StatePublished - Sep 2022

Bibliographical note

Funding Information:
We acknowledge support by the German Research Foundation (DFG) and the Open Access Publication Fund of Hannover Medical School (MHH).

Funding Information:
This research was funded 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 by the authors.


  • discrete-event simulation
  • production process optimization
  • rebar fabrication
  • rebar loss
  • simultaneous delivery


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