Soybean Inventory Management in the Production Process of the Semoga Laris Tofu Factory

Authors

  • Elsa Eka Putrianti Faculty of Engineering, Mulawarman University, Jalan Sambaliung No.9, Samarinda City, East Kalimantan 75119
  • Wahyuda Wahyuda Faculty of Engineering, Mulawarman University, Jalan Sambaliung No.9, Samarinda City, East Kalimantan 75119
  • Farida Djumiati Sitania Faculty of Engineering, Mulawarman University, Jalan Sambaliung No.9, Samarinda City, East Kalimantan 75119

DOI:

https://doi.org/10.22441/ijiem.v5i2.24140

Keywords:

Inventory, Forecasting, Min-max method, EOQ, Capital constraint

Abstract

Semoga laris tofu factory is one of the food industry businesses, where the factory processes soybeans into tofu products. The problem that occurs in the management of inventory at the semoga laris tofu factory is that the factory tends to be unprepared for unexpected circumstances, which is caused by the fact that the value of safety stock on raw material inventory has not been determined. At the semoga laris tofu factory hopefully laris there are also capital restrictions on the purchase of raw materials, where the available capital is IDR 30,000,000. This study aims to evaluate the inventory management carried out by the factory by comparing the Min-Max Method, the Economic Order Quantity (EOQ) Method with the tofu factory policy, which after obtaining the optimal Q is then calculated using the working capital constraint method if the results of the optimal Q cannot be met by the available capital. Based on the results of calculations carried out in this study, calculations with the Basic EOQ method have more optimal Q results compared to other methods. However, the basic EOQ calculation exceeds the existing capital limit, because the cost of purchasing raw materials costs IDR 105,450,000. Based on the existence of capital-related restrictions, the calculation is continued with the capital constraint EOQ method. EOQ with this capital constraint has a quantity for one order of 52 bags with a capital cost of IDR 29,640,000.

Downloads

Download data is not yet available.

References

Aritantia, Y., Sumantri, Y., & Yuniarti, R. (2018). Perencanaan Persediaan Material Berdasarkan Integrasi Distribution Requirement Planning Dan Material Requirement Planning Pada PT. PLN. Jurnal Rekayasa Dan Manajemen Sistem Industri, 6(2).

Indiyanto, R. (2008). Perencanaan Dan Pengendalian Produksi. Klaten: Penerbit Yayasan Humaniora.

Indrajit, R. E., dan Djokopranoto, R. (2004). Dari MRP Menuju ERP. Jakarta: PT. Gramedia Widiasarana Indonesia.

Heriansyah, E., & Hasibuan, S. (2018). Implementasi Metode Peramalan pada Permintaan Bracket Side Stand K59A. Jurnal PASTI, 12(2), 209–223. https://publikasi.mercubuana.ac.id/index.php/pasti/article/view/3722

Hertanto, R. H. (2020). Metode Min-Max Dan Penerapannya Sebagai Pengendali Persediaan Bahan Baku Pada Pt. Balatif Malang. Adbis: Jurnal Administrasi Dan Bisnis, 14(2), 161. https://doi.org/10.33795/j-adbis.v14i2.102

Hidayati, A., & Pulansari, F. (2023). Performance Measurement Supply Chain Management (SCM) Using the Supply Chain Operation Reference (SCOR) Method at PT X. IJIEM - Indonesian Journal of Industrial Engineering and Management, 4(2), 173. https://doi.org/10.22441/ijiem.v4i2.20506

Kadim, A. (2017). Penerapan Manajemen Produksi dan Operasi Di Industri Manufaktur. In Jakarta: Mitra Wacana Media.

Lumban Raja, V. N. (2022). Mini Oreo Cup Production Plan with Aggregate Method to Minimize Production Costs. IJIEM - Indonesian Journal of Industrial Engineering and Management, 3(3), 224. https://doi.org/10.22441/ijiem.v3i3.15787

Lusiana, A., & Yuliarty, P. (2020). Penerapan Metode Peramalan (Forecasting) Pada Permintaan Atap di PT X. Industri Inovatif : Jurnal Teknik Industri, 10(1), 11–20. https://doi.org/10.36040/industri.v10i1.2530

Mail, A., Asri, M., Padhil, A., Takdir, A., dan Chairany, N. (2018). Pengendalian Persediaan Bahan Baku Menggunakan Metode Min-Max Stock di PT. Panca Usaha Palopo Plywood. JIEM, Vol 3 No. 1. https://doi.org/10.33536/jiem.v3i1.198

Mushollaeni, W., Tantalu, L., & Malo, M. (2021). Komposisi gizi tahu kombinasi dari kacang tunggak dan kedelai yang dibuat dengan bahan penggumpal asam cuka dan biang tahu. Teknologi Pangan : Media Informasi Dan Komunikasi Ilmiah Teknologi Pertanian, 13(1), 29–37. https://doi.org/10.35891/tp.v13i1.2742

Ningrum, D. T. K., & Purnawan. (2022). Evaluasi Pengendalian Persediaan Bahan Baku UPVC dengan Perbandingan Metode EOQ, POQ, dan Min-Max Pada PT XYZ. Industrial Engineering Online Journal, 11(3), 1–9. https://ejournal3.undip.ac.id/index.php/ieoj/article/view/34377

Rangkuti, F. (2007). Manajemen persediaan. Jakarta: PT. RajaGrafindo Persada.

Rozaq, M. R. A., & Mahbubah, N. A. (2022). Efisiensi Persediaan Kantong Semen Berbasis Metode MIN-MAX, EOQ, dan TWO-BIN di Packing Plant PT AKA. Sigma Teknika, 5(2), 259–266. https://doi.org/10.33373/sigmateknika.v5i2.4637

Siswanto. (2007). Operations Research Jilid II. Jakarta: Erlangga.

Sucipto, L., & Syaharuddin, S. (2018). Konstruksi forecasting system multi-model untuk pemodelan matematika pada peramalan indeks pembangunan manusia provinsi nusa tenggara barat. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 4(2), 114–124. https://doi.org/10.26594/register.v4i2.1263.

Wulandari, L. M. C., dan Indrianto, L. D. (2021). Analisis Pengendalian Persediaan Bahan Baku Biji Plastik Menggunakan Pendekatan Simulasi Monte Carlo. Jurnal Teknik Industri Universitas Katolik Darma Cendika, Vol 14 No. 1. http://jurnal.upnyk.ac.id/index.php/opsi/article/download/4744/3598

Downloads

Published

2024-11-20

How to Cite

1.
Putrianti EE, Wahyuda W, Sitania FD. Soybean Inventory Management in the Production Process of the Semoga Laris Tofu Factory. IJIEM [Internet]. 2024 Nov. 20 [cited 2026 May 28];5(2):379-91. Available from: https://training-ojs3-publikasi.mercubuana.ac.id/index.php/ijiem/article/view/24140

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.