The Effectiveness of Automated Machine Over Manual Machine in Operational Line

Authors

  • Helmi Adly Mohd Noor Universiti Kuala Lumpur - Malaysia Institute of Industrial Technology, Johor, Malaysia
  • Muhamad Nor Sadiqin Bin Ramli Universiti Kuala Lumpur - Malaysia Institute of Industrial Technology, Johor, Malaysia
  • Rahimah Kassim Universiti Kuala Lumpur - Malaysia Institute of Industrial Technology, Johor, Malaysia
  • Fauziah Abdul Rahman Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
  • Zirawani Baharum Universiti Kuala Lumpur - Malaysia Institute of Industrial Technology, Johor, Malaysia
  • Farah Idayu Mohd Salleh

DOI:

https://doi.org/10.3991/ijoe.v17i12.24729

Keywords:

Operation, Manual Machine, Simulation, Service Improvement

Abstract


As for the project research that had to be done by the researcher, it will be more concentrates on the effectiveness of machine over manual machine in operation line at LGL Technology Sdn Bhd. So, based on the problem research regarding the effectiveness of LGL operation, it will be necessary as to investigate their operation that are mostly depending on manual machine. So, the researcher would decide to exert two research techniques in order to get the information by the first sources is the primary sources that are include observation, and interview, and for the second sources is the secondary sources is based on journal, website, books and also article. By having a simulation as to mimic the real-world system on computer, by making simulation on their current and with the proposed design as to compare which is more effective. So, in the future this project would be able to help the LGL as to improve their effectiveness in their operation as it also can improve their service to their customer.

Cover iJOE Vol. 17 No. 12 (2021)

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Published

2021-11-29

How to Cite

Mohd Noor, H. A., Ramli, M. N. S. B., Kassim, R., Abdul Rahman, F., Baharum, Z., & Salleh, F. I. M. (2021). The Effectiveness of Automated Machine Over Manual Machine in Operational Line. International Journal of Online and Biomedical Engineering (iJOE), 17(12), pp. 19–37. https://doi.org/10.3991/ijoe.v17i12.24729

Issue

Vol. 17 No. 12 (2021)

Section

Papers

License

Copyright (c) 2021 Helmi Adly Mohd Noor, Muhamad Nor Sadiqin Bin Ramli, Rahimah Kassim, Fauziah Abdul Rahman, Zirawani Baharum

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