Optimization of Roll Die Cutting Machine Utilization in the Production Fold Carton Packaging

  • Dimas Priyo Wicaksono
  • Saeful Imam
  • Iqbal Yamin
  • Nurlita Pratiwi Suharto
  • Valeri Vela Sinur
Keywords: Flatbed Cutting, Folding Carton Packaging, Parameter Optimization, Production Efficiency, Roll Die Cutting Machine

Abstract

Folded carton packaging is commonly used in various industries due to its lightweight, flexible, and environmentally friendly properties. Roll die cutting machines are the primary technology used in mass production because they can achieve cutting Accuracy of up to 99% with only 1,2% material waste at optimal parameters (pressure of 5 bar, speed of 20 m/min, blade sharpness of 0.1 µm). Therefore, this study uses an experimental method to optimize cutting parameters by varying pressure (3-7 bar), speed (10-30 m/min), and blade sharpness (0.1-0.5 µm). The research results show that the use of a blunt blade (0.5 µm) at high pressure (7 bar) can reduce Accuracy by up to 85% and increase Waste by up to 10%. Comparison with flatbed cutting machines reveals the superiority of roll die cutting in terms of production speed (three times faster) and precision (four % higher), despite requiring 50% higher maintenance expenses. The implementation of these optimal parameters in industry is projected to increase productivity by up to 30% while reducing material waste by up to 40%, provided that routine blade maintenance is performed every 5,000 cutting cycles. These findings offer significant technical recommendations for improving the efficiency of folding carton packaging production.

Downloads

Download data is not yet available.

Author Biographies

Dimas Priyo Wicaksono

Program of Packaging Printing Technology, Department of Graphic Engineering and Publishing, Politeknik Negeri Jakarta. Indonesia.

Saeful Imam

Program of Packaging Printing Technology, Department of Graphic Engineering and Publishing, Politeknik Negeri Jakarta. Indonesia.

Iqbal Yamin

Program of Packaging Printing Technology, Department of Graphic Engineering and Publishing, Politeknik Negeri Jakarta. Indonesia.

Nurlita Pratiwi Suharto

Program of Packaging Printing Technology, Department of Graphic Engineering and Publishing, Politeknik Negeri Jakarta. Indonesia.

Valeri Vela Sinur

Program of Packaging Printing Technology, Department of Graphic Engineering and Publishing, Politeknik Negeri Jakarta. Indonesia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 15
2026-02-12
    Downloads : 7
How to Cite
[1]
D. P. Wicaksono, S. Imam, I. Yamin, N. P. Suharto, and V. V. Sinur, “Optimization of Roll Die Cutting Machine Utilization in the Production Fold Carton Packaging”, Journal of Engineering, Technology, and Applied Science, vol. 8, no. 1, pp. 1-7, Feb. 2026.
Section
Articles

References

A. Putri, R. Ramdhani, M. Rosalia, F. F. Arraniri, I. Kurnia, and K. S. Rahayu, “Authenticity and Uniqueness of Asinan Bogor As a Distinctive Culinary Delight of Bogor City,” Home Econ. J., vol. 8, no. 1, pp. 24–35, 2024, doi: 10.21831/hej.v8i1.72162.

M. Ketelsen, M. Janssen, and U. Hamm, “Consumers’ response to environmentally-friendly food packaging - A systematic review,” J. Clean. Prod., vol. 254, 2020, doi: 10.1016/j.jclepro.2020.120123.

K. Molina-Besch, “Use phase and end-of-life modeling of biobased biodegradable plastics in life cycle assessment: a review,” Clean Technol. Environ. Policy, vol. 24, no. 10, pp. 3253–3272, 2022, doi: 10.1007/s10098-022-02373-3.

A. Bravo and D. Vieira, “Modelling the Purchase of Green Packaged Products: The Significant Impact of the West–East Cultural Context,” Sustain. mdpi, vol. 16, no. 3, pp. 1–21, 2024, doi: 10.3390/su16031206.

S. Imam and W. Prastiwinarti, “Analisis Tingkat Kecacatan Produk Cetak Kemasan Karton Lipat Dengan Pendekatan DMAIC Six Sigma,” J. Poli-Teknologi, vol. 19, no. 2, pp. 161–168, 2020, doi: 10.32722/pt.v19i2.2951.

I. Rehei, O. Knysh, V. Vlakh, and Y. Mykhailiv, “Sectional design of the pressure plate in the die-cutting press with wedging mechanisms: justification of application,” InterConf, no. 33(155), pp. 362–367, 2023, doi: 10.51582/interconf.19-20.05.2023.031.

N. Clark, R. Trimingham, and G. T. Wilson, “A remote ethnography methodology to gain packaging behaviour insights,” Packag. Technol. Sci., vol. 35, no. 4, pp. 373–392, 2022, doi: 10.1002/pts.2635.

C. Hartmann et al., “Measurement of strain, strain rate and crack evolution in shear cutting,” J. Mater. Process. Technol., vol. 288, 2021, doi: 10.1016/j.jmatprotec.2020.116872.

C. Y. Lee, S. H. Hwang, and B. K. Min, “Simulation-based optimization of CNC interpolator parameters for machining accuracy improvement,” Int. J. Adv. Manuf. Technol., vol. 119, no. 5–6, pp. 3757–3770, 2022, doi: 10.1007/s00170-021-08434-z.

T. Trzepieciński, S. M. Najm, M. Sbayti, H. Belhadjsalah, M. Szpunar, and H. G. Lemu, “New Advances And Future Possibilities In Forming Technology Of Hybrid Metal–Polymer Composites Used In Aerospace Applications,” J. Compos. Sci., vol. 5, no. 8, pp. 1–50, 2021, doi: 10.3390/jcs5080217.

Y. Lee, J. Yun, S. Lee, and C. Lee, “Image Data-Centric Visual Feature Selection on Roll-to-Roll Slot-Die Coating Systems for Edge Wave Coating Defect Detection,” Polymers (Basel)., vol. 16, no. 8, 2024, doi: 10.3390/polym16081156.

C.-H. Su and H.-H. Lin, “Precise Shoe-Material Cutting Using Image-Based Die Cutter Calibration for Punching Machine Tools,” Manuf. Technol., vol. 25, no. 1, pp. 113–119, 2025, doi: 10.21062/mft.2025.004.

S. Ternytskyi, I. Rehei, N. Kandiak, I. Radikhovskyi, and O. Mlynko, “Experimental Research of Paperboard Cutting in Die Cutting Press with the Screw-Nut Transmission of Drive Mechanism of a Movable Pressure Plate,” Acta Mech. Autom., vol. 15, no. 3, pp. 122–131, 2021, doi: 10.2478/ama-2021-0017.

F. Wang, “Advanced Experiment Design Strategies for Drug Development,” 2025, doi: 10.1002/aidi.202500087.

G. V. Neamțu, C. Mohora, D. F. Anania, and D. Dobrotă, “Research Regarding The Increase Of Durability Of Flexible Die Made From 50crmo4 Used In The Typographic Industry,” Met. mdpi, vol. 11, no. 6, pp. 1–22, 2021, doi: 10.3390/met11060996.

O. Adiyanto, F. Ma’ruf, and A. Hopid, “Assessing the optimal compressive strength of eco-friendly bricks using full factorial design,” Sustain. Eng. Innov., vol. 6, no. 1, pp. 119–130, 2024, doi: 10.37868/sei.v6i1.id286.

T. Batu, H. G. Lemu, and H. Shimels, “Application of Artificial Intelligence for Surface Roughness Prediction of Additively Manufactured Components,” Materials (Basel)., vol. 16, no. 18, 2023, doi: 10.3390/ma16186266.

R. Arboretti, R. Ceccato, L. Pegoraro, and L. Salmaso, “Design of Experiments and machine learning for product innovation: A systematic literature review,” Qual. Reliab. Eng. Int., vol. 38, no. 2, pp. 1131–1156, 2022, doi: 10.1002/qre.3025.

H. Hou, G. Zhao, L. Chen, and H. Li, “Nonlinear anelastic behavior and unloading-reloading constitutive models of severe plastic compressive deformation,” J. Mater. Process. Technol., vol. 294, no. December 2020, p. 117128, 2021, doi: 10.1016/j.jmatprotec.2021.117128.

C. Sergi, J. Tirillò, T. Valente, and F. Sarasini, “Effect of Basalt Fibres on Thermal and Mechanical Properties of Recycled Multi-Material Packaging,” J. Compos. Sci., vol. 6, no. 3, 2022, doi: 10.3390/jcs6030072.

J. Ylimys, “Quality optimisation of the overall paperboard manufacturing process for a rotogravure printing,” Master’s thesis, 2022, [Online]. Available: https: //lutpub.lut.fi/handle/10024/163795

S. Stribick and R. Pahmeyer, “Temperature and Wear Analysis of Adhesively Bonded and Soldered Cutting Tools for Woodcutting,” J. Manuf. Mater. Process., vol. 7, no. 6, 2023, doi: 10.3390/jmmp7060223.

D. Y. Pimenov, M. Kumar Gupta, L. R. R. da Silva, M. Kiran, N. Khanna, and G. M. Krolczyk, “Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach,” Meas. J. Int. Meas. Confed., vol. 199, no. January, p. 111503, 2022, doi: 10.1016/j.measurement.2022.111503.

V. Leminen, A. Niini, P. Tanninen, and S. Matthews, “Comparison of Creasing and Scoring in the Manufacturing of Folding Cartons,” ScienceDirect, vol. 55, no. C, pp. 221–225, 2021, doi: 10.1016/j.promfg.2021.10.031.

T. Sinkko, E. Sanyé-Mengual, S. Corrado, J. Giuntoli, and S. Sala, “The EU Bioeconomy Footprint: Using life cycle assessment to monitor environmental impacts of the EU Bioeconomy,” Sustain. Prod. Consum., vol. 37, pp. 169–179, 2023, doi: 10.1016/j.spc.2023.02.015.

P. Tanninen, S. Matthews, V. Leminen, and J. Varis, “Analysis of Paperboard Creasing Properties With a Novel Device,” ScienceDirect, vol. 55, no. C, pp. 232–237, 2021, doi: 10.1016/j.promfg.2021.10.033.

J. Yang, Y. Zhang, Y. Huang, J. Lv, and K. Wang, “Multi-objective optimization of milling process: exploring trade-off among energy consumption, time consumption and surface roughness,” Int. J. Comput. Integr. Manuf., vol. 36, no. 2, pp. 219–238, 2023, doi: 10.1080/0951192X.2022.2078511.

G. Fede, F. Sgarbossa, and N. Paltrinieri, “Integrating production and maintenance planning in process industries using Digital Twin: A literature review,” IFAC-PapersOnLine, vol. 58, no. 19, pp. 151–156, 2024, doi: 10.1016/j.ifacol.2024.09.124.

P. Chandan, A. P. Das, S. S. Choudhury, and R. K. Annabattula, “A DEM-driven machine learning framework for abrasive wear prediction,” 2025, [Online]. Available: http: //arxiv.org/abs/2509.08637

J. Wang and J. Zhang, “Assessment of Residual Useful Life of Sun Gear in a Planetary Gearbox Based on Dynamic Wear Behaviors Analyses,” Machines, vol. 11, no. 2, 2023, doi: 10.3390/machines11020149.