Abstract
Using value stream mapping (VSM) and simulation techniques, the study aims to improve production line performance in the electronics manufacturing industry. The study focuses specifically on analysing and optimising the assembly line operations of an assembly line in an electronic manufacturing company. The primary objectives of this study are to develop a current state VSM, simulate its performance using discrete event simulation software, and propose a future state VSM for increased efficiency. This study employs lean principles and simulation technology to identify and eliminate production line constraints and inefficiencies. The results of this study demonstrate the ability of VSM and simulation techniques in generating substantial improvements in key performance indicators. The results demonstrate significant improvements in throughput, with the proposed models obtaining significant improvements over the current state VSM. Additionally, the implementation of lean tools and simulation techniques results in increased value-added percentages and enhanced line efficiency. The decrease in average waiting time and blocked status contributes further improvement to the production line’s overall performance and productivity. The study concludes that the integration of VSM and simulation techniques offers valuable insights for optimising production line performance, minimising waste, and enhancing overall efficiency. The findings can serve as a foundation for future optimisation efforts and as a guide for decision-makers seeking to increase production line productivity and efficiency.
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Yong, C.C., Razali, N.M. (2024). Improving Production Line Performance Through VSM and Simulation in Electronics Manufacturing Industry. In: Mohd. Isa, W.H., Khairuddin, I.M., Mohd. Razman, M.A., Saruchi, S.'., Teh, SH., Liu, P. (eds) Intelligent Manufacturing and Mechatronics. iM3F 2023. Lecture Notes in Networks and Systems, vol 850. Springer, Singapore. https://doi.org/10.1007/978-981-99-8819-8_43
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DOI: https://doi.org/10.1007/978-981-99-8819-8_43
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