Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)

Optimizing Workforce Utilization in Motorcycle Component Assembly Using Simulation

Authors
Nornajhan Abdul Latip1, S. Sarifah Radiah Shariff1, 2, *, Siti Meriam Zahari1, Nurul Nadiah Abdul Halim Zahari1
1Centre for Statistics and Decision Science Studies, Faculty of Computer and Mathematical Science, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
2Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: shari990@uitm.edu.my
Corresponding Author
S. Sarifah Radiah Shariff
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-014-5_33How to use a DOI?
Keywords
Optimisation; Workforce utilization; Simulation; Motorcycle; Assembly
Abstract

The lack of resource utilization has resulted in manufacturing staying at the same level for a long time. This problem cannot be solved simply by adding machines and hiring more labor. There is an urgent need for innovation and more investment in the development of manufacturing systems. Therefore, a strategic approach is needed to plan and handle the motorcycle component assembly process. This research aimed to evaluate the current workforce utilization of motorcycle parts assembly line, and put forward a feasible plan for the assembly company to achieve their best production based on limited workforce resources. The study specifically targeted assemblers located in Port Klang, Selangor. The data used for the research is the auxiliary data in a three-month time span and is recorded in the assembly company. Simulation is applied in this research to grasp the current situation and Arena simulation software tool is used. The improvement models are proposed by reallocating the workers into their designated workstations. The findings found that by setting a group of workers that operate in a cyclical manner assisted the assembler to maximize the workforce utilization rate. In order to make future research completer and more thorough, more exploration is encouraged by adding related measures (such as applied inventory practices, production and other related costs, and larger sample sizes). The results from this study can help the assembler management to make better decisions thus upgrading the motorcycle component assembly system.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)
Series
Advances in Computer Science Research
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-014-5_33
ISSN
2352-538X
DOI
10.2991/978-94-6463-014-5_33How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Nornajhan Abdul Latip
AU  - S. Sarifah Radiah Shariff
AU  - Siti Meriam Zahari
AU  - Nurul Nadiah Abdul Halim Zahari
PY  - 2022
DA  - 2022/12/12
TI  - Optimizing Workforce Utilization in Motorcycle Component Assembly Using Simulation
BT  - Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)
PB  - Atlantis Press
SP  - 378
EP  - 389
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-014-5_33
DO  - 10.2991/978-94-6463-014-5_33
ID  - Latip2022
ER  -