Application of discrete event simulation in modelling a SME manufacturing system
List of Authors
  • Khoong Tai Wai , Wan Laailatul Hanim Mat Desa

Keyword
  • Efficiency, Manufacturing, Optimisation, Production Line, Simulation

Abstract
  • The utilisation of IR4.0 simulation technology within manufacturing sector to analytically examined, learned and verified through illustration modelling. This research objective is to simulate the production line of a SME helmet manufacturing and assess the efficiency, utilise ARENA software. The research obtained data provided by the organisation and direct observation, of each data process time and standard time in the production line. The painting production line been selected to simulate, whereby engaged in five different processes to produce a singular product helmet type. The ARENA simulation software adopted for model creation, and developed model undergoes verification and validation before the analysis of the simulation results. The analysis simulation results displayed increase in workers utilisation if the restructuring the resources allocation for dust vacuum and quality check point 2. The research is valuable for the company as it focuses on the critical need to improve the efficiency and utilisation of its production lines, which contributing to the overall advancement of the green economy.

Reference
  • 1. Abdul, H. H. Andalib, T. W., Ahmad, N. H. & Ramayah, T. (2023a). Effect of Internal Barriers on Innovation Performance in Embryonic SMEs in Malaysia. Asian Academy of Management Journal, 28(2), 29-60. https://doi.org/10.21315/aamj2023.28.2.2

    2. Abdul, R, A. A., Chong, P. L., Ong, T. S., Teh, B. H. & Ong, T. C. (2023b). Business Network and Balanced Scorecard: An Analysis of Small and Medium Enterprises in Malaysia. Arab Gulf Journal of Scientific Research. https://doi.org/10.1108/AGJSR-10-2022-0218

    3. Attaran, M., Attaran, S. & Celik, B.G. (2023). The Impact of Digital Twins on the Evolution of Intelligent Manufacturing and Industry 4.0. Advances in Computational Intelligence, 3(11), 1-15. https://doi.org/10.1007/s43674-023-00058-y

    4. Bell, E., Harley, B. & Bryman, A. (2022). Business Research Methods. Oxford University Press.

    5. Deif A. & Mohib A. (2020). Temporary Clusters: A New SME Clustering Management Model. Journal of Modelling in Management, 16 (2), 486-505. DOI: 10.1108/JM2-05-2018-0055

    6. Ismail, M. K, Abdul, R. N. Z. A., Kumaran, V. V. Muhamad, M. Z. & Ahmad, S. N. S. (2022). Analysing the Challenges in Adopting Digitalisation among SMEs: A Case Study in Malaysia. Res Militaris (resmilitaris.net), 12(4), 499-509.

    7. Li, C. Chen, Y. & Shang, (2022). Y. A Review of Industrial Big Data for Decision Making in Intelligent Manufacturing. Engineering Science and Technology, an International Journal, 29, 101021. https://doi.org/10.1016/j.jestch.2021.06.001

    8. Malaysian Investment Development Authority (MIDA). (2022). Malaysia Investment Performance Report 2022: Sustainable Investment for Growth. Retrieved from https://www.mida.gov.my/wp-content/uploads/2023/03/MIPR-2022.pdf

    9. Maria, A. (1997). Introduction to Modeling and Simulation. Proceedings of the 1997 Winter Simulation Conference, Ed. S. Andradóttir, K. J. Healy, D. H. Withers, and B. L. Nelson. 7-13.

    10. Ministry of International Trade and Industry Malaysia (MITI). (2023). New Industry Master Plan 2023. Retrieved from https://www.mdbc.com.my/wp-content/uploads/2023/09/NIMP_2030.pdf

    11. Shahzad, A., Zakaria, M. S. A., Hussain, A., Kotzab, H., Majid, M. M. A. & Fischer, J. (2023). Adoption of Fourth Industrial Revolution 4.0 among Malaysian Small and Medium Enterprises (SMEs). Humanities Social Sciences Communications 10(1), 693(2023). https://doi.org/10.1057/s41599-023-02076-0

    12. Shannon, R. E. (1998). Introduction to the Art and Science of Simulation. Proceedings of the 1998 Winter Simulation Conference, 7-14.

    13. Talib, N. A. C., Abd Razak, N., & Mahmud, N. (2023). Enhancing Small and Medium Enterprise Performance through Supply Chain Integration: A Case Study of Malaysia. Information Management and Business Review, 15(3(I), 405-417. https://doi.org/10.22610/imbr.v15i3(I).3551