Increasing Bead Productivity with Wire Counting Tools Using Design of Experiment (DOE) Methods And Investment Feasibility at PT. RZ

Authors

  • Arief Suwandi Universitas Esa Unggul
  • Meli Rani Universitas Esa Unggul

DOI:

https://doi.org/10.36722/sst.v11i3.4523

Keywords:

Bobbin Process, Effectiveness, Investment Feasibility, Stock Taking

Abstract

Bead is a tire component which is formed through a let off bobbin process, used as a stand so that the bobbin can rotate and wire can be used to make beads. The 2021 Bead Forming area KPI did not reach the target. The Bead Forming Machine stops during stock taking because it is still manual. The aims of this research are to analyze the design of a wire counting device using the DOE method and to analyze the feasibility of investment so that the use of wire can be monitored in real time, speeding up stock taking and preventing the machine from stopping. Optimal results with the smallest error value using a roll encoder of around 10 and 20 pulses which produce an error value of 0.0050 (0.5%). The investment feasibility results show that the required investment cost for a wire counter is 81,000,000 IDR. While the loss when the machine stops is 131,221,200 IDR for 1 year. Reducing error values ​​can increase KPI achievements with an initial value of 2.2% dropping to 0.5%, with the help of an automatic stock taking wire counter on the monitor.

References

[1] A. Suwandi, T. Y. Zagloel, en A. Hidayatno, “Conceptual model of failure risk control on raw materials inventory system”, IOP Conf. Ser. Mater. Sci. Eng., vol 453, no 1, 2018, doi: 10.1088/1757-899X/453/1/012007.

[2] Y. Li, X. Sun, J. Song, S. Zhang, en S. Han, “Topological structure and experimental investigation of a novel whole tire bead”, Mater. Des., vol 203, bl 109592, 2021, doi: 10.1016/j.matdes.2021.109592.

[3] S. Olbrich en J. Lackinger, “Manufacturing Processes of automotive high-voltage wire harnesses: State of the art, current challenges and fields of action to reach a higher level of automation”, Procedia CIRP, vol 107, no 2021, bll 653–660, 2022, doi: 10.1016/j.procir.2022.05.041.

[4] L. Bauer, L. Stütz, P. Beck, W. G. Kleppmann, en M. Kley, “Improved design of experiments method for machine-learning-based modelling of gearbox efficiency in a test rig environment”, Procedia Comput. Sci., vol 207, bll 1124–1133, 2022, doi: 10.1016/j.procs.2022.09.168.

[5] A. Pozzi, X. Xie, D. M. Raimondo, en R. Schenkendorf, “Global sensitivity methods for design of experiments in lithium-ion battery context”, IFAC-PapersOnLine, vol 53, no 2, bll 7248–7255, 2020, doi: 10.1016/j.ifacol.2020.12.558.

[6] N. Pandey, A. A. Patwardhan, en S. Rao, “Four decades of new product development research: An integrative review”, Int. J. Prod. Dev., vol 23, no 1, bll 1–14, 2019, doi: 10.1504/IJPD.2019.098385.

[7] A. Suwandi, T. Y. Zagloel, en A. Hidayatno, “Minimization of pipe production defects using the fmea method and dynamic system”, Int. J. Eng. Res. Technol., vol 13, no 5, bll 953–961, 2020, doi: 10.37624/ijert/13.5.2020.953-961.

[8] A. Sannö en M. Ahlskog, “Integrating knowledge for manufacturing technology development”, Int. J. Prod. Dev., vol 23, no 1, bll 65–83, 2019, doi: 10.1504/IJPD.2019.098399.

[9] Y. Guo en Y. Xiang, “Cost–benefit analysis of photovoltaic-storage investment in integrated energy systems”, Energy Reports, vol 8, bll 66–71, 2022, doi: 10.1016/j.egyr.2022.02.158.

Downloads

Published

2026-10-19

Issue

Section

JURNAL AL-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI