Continuous Improvement of Productivity with Applying Lean Principles in Designing and Simulating: A Case Study
Corressponding author's email:
tailm@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2025.1613Keywords:
LEAN, Simulation, 4.0, Real-time production, Smart 4.0 factoryAbstract
Increased productivity could be a prerequisite for every business looking to compete. The lean principle is a useful and popular method to achieve this. This paper presents a case study on the successful implementation of lean principles in the shoe manufacturing process. The goal of this article is to achieve continuous production improvement and reach line equilibrium. Limited manufacturing resources are effectively integrated with lean tools in a suggested real-time bottleneck control strategy to mitigate short-term production constraints and achieve continuous production improvements. This is done through the use of a novel 4.0 management approach that makes use of Blockchain (QR code), a real-time production reporting system (Realtime Production), and the organization and movement of goods. The case study demonstrates promising results in improving productivity in a shoe factory. This approach could also be considered for implementation in other production fields such as electronic assembly lines, garment lines, and furniture assembly lines.
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References
M. Ghaleb, H. Zolfagharinia, and S. Taghipour, "Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns," Computers & Operations Research, vol. 123, p. 105031, 2020. DOI: https://doi.org/10.1016/j.cor.2020.105031
P. R. Jeffries, "A framework for designing, implementing, and evaluating: Simulations used as teaching strategies in nursing," Nursing Education Perspectives, vol. 26, no. 2, pp. 96–103, 2005.
J. T. B. M. B. Covas, "Production line balancing simulation: a case study in the footwear industry," 2014.
L. Li, Q. Chang, J. Ni, and S. Biller, "Real-time production improvement through bottleneck control," International Journal of Production Research, vol. 47, no. 21, pp. 6145–6158, 2009. DOI: https://doi.org/10.1080/00207540802244240
A. A. Al-Dahmash and A. Al-Othman, "Real-time production control using lean manufacturing principles for a manufacturing line with multiple bottlenecks," 2021.
R. B. Torres and M. N. Young, "A comparative study on the use of automation in a shoe manufacturing warehousing with conventional warehousing," in 2020 The 6th International Conference on Industrial and Business Engineering, Sep. 2020, pp. 5–9. DOI: https://doi.org/10.1145/3429551.3429570
X. Li, S. Gao, and W. Li, "Real-time production planning and control for lean manufacturing systems," 2018.
Q. Chang, J. Ni, P. Bandyopadhyay, S. Biller, and G. Xiao, "Supervisory factory control based on real-time production feedback," 2007. DOI: https://doi.org/10.1115/1.2673666
Y. Zhang, W. Wang, N. Wu, and C. Qian, "IoT-enabled real-time production performance analysis and exception diagnosis model," IEEE Transactions on Automation Science and Engineering, vol. 13, no. 3, pp. 1318–1332, 2015. DOI: https://doi.org/10.1109/TASE.2015.2497800
D. R. Harish, T. Gowtham, A. Arunachalam, M. S. Narassima, D. Lamy, and M. Thenarasu, "Productivity improvement by application of simulation and lean approaches in a multimodel assembly line," 2023. DOI: https://doi.org/10.1177/09544054231182264
J. Furman and M. Malaysia, "Influence of bottleneck on productivity of production processes controlled by different pull control mechanisms," 2023.
P. Kumar and S. Kumar, "WIP reduction in a lean manufacturing environment using linear regression," 2020.
A. K. Mandal and S. Kumar, "A lean manufacturing approach to reduce lead time and inventory in a manufacturing industry," 2019.
H. Zhang, S. Zhang, and J. Wang, "Using lean manufacturing to improve the bottleneck process in a manufacturing company," 2017.
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