Perancangan Sistem Produksi Ekstrak Lemon dengan Discrete Event Simulation

Zahrayna Shebina Syabira, Muhammad Almaududi Pulungan, Yudha Prambudia

Abstract


XYZ Company is a Micro, Small, and Medium Enterprise (MSME) that is engaged in the production of fruit juice drinks with the type of production produced being lemon extract. Unfulfilled demand for lemon extract products is the main problem faced by XYZ Company. This study aims to optimize the production system and provide suggestions for improvements to increase production capacity to achieve production targets using discrete event simulation. Production target planning is determined using demand forecasting. The results of model simulations that have been verified and validated show that the existing production system cannot achieve production targets. This problem is caused by the production process still using manual tools. The experimental design was carried out in the washing, cutting, squeezing, and packaging processes. Of the total of 9 alternative scenarios compared, it is known that alternative scenario C has the best results for achieving production targets with an increase in company output of 15,5% compared to the initial model.

Keywords - Demand Forecasting, Discrete Event Simulation, Lemon Extract.



Full Text:

PDF

References


World Fruit Map, 2018. [Online]. Available: https://research.rabobank.com/.

Kementerian Perindustrian RI, “Prospek Industri Minuman Sari Buah Masih Terbuka Luas”, 23 Mei 2023. [Online]. Available: https://kemenperin.go.id/artikel/23042/Prospek-Industri-Minuman-Sari-Buah-Masih-Terbuka-Luas.

BPS, “Rata-rata Pengeluaran Perkapita Perminggu dalam Kategori Makanan Minuman Jadi per Kabupaten Kota di Jawa Barat,” 08 Juni 2023. [Online]. Available: https://www.bps.go.id/.

Open Data Jabar, “Produksi Jeruk Lemon Berdasarkan Kabupaten/Kota di Jawa Barat,” 09 Juni 2023. [Online]. Available: https://opendata.jabarprov.go.id.

W. N. Tanjung, S. Hidayat, and S. Azmiyati, “Simulasi Sistem Untuk Meningkatkan Kinerja Rantai Pasok,” Jurnal Al-Azhar Indonesia Seri Sains dan Teknologi, vol. 3, no. 4, pp. 171–177, 2017.

D. A. van Beek, A. van den Ham, and J. E. Rooda, “Modelling and Controlling of Process Industry Batch Production Systems,” IFAC Proceedings Volumes, vol. 35, no. 1, pp. 403-408, 2002.

F. Kurniawan, A. Fikri, Vandrick, E. Luhur, and E. Dewi, “Simulasi Lini Produksi Ragum menggunakan Software Flexsim,” Talenta Conference Series: Energy and Engineering (EE), vol. 4, no. 1, 2021.

D. Antonelli, P. Litwin, and D. Stadnicka, “Multiple System Dynamics and Discrete Event Simulation for manufacturing system performance evaluation,” Procedia CIRP, vol. 78, pp. 178–183, 2018.

H. Zupan and N. Herakovic, “Production line balancing with discrete event simulation: A case study,” IFAC-PapersOnLine, vol. 48, no. 3, pp. 2305–2311, 2015.

R. Ginting, Sistem Produksi, Graha Ilmu, 2007. Available: https://opac.perpusnas.go.id/. (Diakses pada 23 Oktober 2023).

S.V. Hoover, & R. F. Perry, Simulation A Problem-Solving Approach, Digital Equipment Corporation & Northeastern University, 1989.

A.M. Law, & W. D. Kelton, Simulation Modeling & Analysis, 2nd ed., McGraw-Hill. New York. 1991.




DOI: http://dx.doi.org/10.36722/sst.v9i2.2695

Refbacks

  • There are currently no refbacks.


LP2M (Lembaga Penelitian dan Pengembangan Masyarakat)

Universitas AL-AZHAR INDONESIA, Lt.2 Ruang 207

Kompleks Masjid Agung Al Azhar

Jl. Sisingamangaraja, Kebayoran Baru

Jakarta Selatan 12110

Visitor

 This work is licensed under CC BY 4.0