Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials
Abstract
This study analyzes the integration of the multi-item Economic Order Quantity (EOQ) and Economic Production Quantity (EPQ) methods to minimize the inventory costs of outsole raw materials at UD. Santoso Mojokerto. The main problem lies in the high storage costs caused by the mismatch between purchasing quantities and the production needs of women’s flat sandals in sizes 37–39. Using demand, production, and inventory cost data for the period of August 2024–July 2025, EOQ is applied to determine the optimal order quantity, while EPQ is used to establish the optimal production quantity. The results show that integrating EOQ and EPQ can reduce total inventory costs compared to the company’s current method, while also maintaining raw material availability and ensuring smooth production processes.
Downloads
References
Annisa, S. (2022). Kinerja Dinas Perindustrian dan Perdagangan Sumatera Utara dalam memperkuat industri kecil menengah di Kota Medan. SIBATIK Journal, 1(5), 663–670. https://doi.org/10.54443/sibatik.v1i5.74GO
Assauri, S. (2016) Manajemen Operasi Produksi Pencapaian Sasaran Organisasi Berkesinambungan. Edisi ke tiga. Jakarta: PT RajaGrafindo Persada.Hazimah, H., Sukanto, Y. A., & Triwuri, N. A. (2020). Analisis Persedian Bahan Baku, Reorder Point dan Safety Stock Bahan Baku ADC-12. Jurnal Ilmiah Universitas Batanghari Jambi, 20(2), 675. https://doi.org/10.33087/jiubj.v20i2.989.
Fachrezy, N. E., & Setiafindari, W. (2024). Analisis persediaan bahan baku roti dengan metode Economic Order Quantity (EOQ) dan Just In Time (JIT) pada perusahaan roti. Jurnal Ilmiah Ekonomi dan Manajemen, 2(7), 93–103. https://doi.org/10.61722/jiem.v2i7.1830.
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.v10i1.2530RJ
Lestari, F., & Rustandi. (2024). Penerapan metode Economic Order Quantity dan Just In Time guna meningkatkan optimasi pengendalian persediaan produk (Studi kasus pada UMKM Mochi Ahmad Yani). Jurnal Bisnisman: Riset Bisnis dan Manajemen, 5(3), 35–56. https://doi.org/10.52005/bisnisman.v5i03.190
Saraiva, F. A., & Yoshizaki, H. (2024). Logistics demand forecasting: A literature review. Transportation Research Procedia, 79, 100–107. https://doi.org/10.1016/j.trpro.2024.03.015
Ratningsih, R. (2021). Penerapan Metode Economic Order Quantity (EOQ) Untuk Meningkatkan Efisiensi Pengendalian Persediaan Bahan Baku Pada CV Syahdika. Jurnal Perspektif, 19(2), 158–164. https://doi.org/10.31294/jp.v19i2.11342
Yuniasih, A. W., & A’yuni, N. R. L. (2024). Literature review of inventory with probabilistic economic order quantity (EOQ). Jurnal Teknologi dan Manajemen, 22(1), 83–92. https://doi.org/10.52330/jtm.v22i1.220
Winati, F. D., & Indarwati, T. (2023). Inventory control analysis using Economic Order Quantity (EOQ) in the Pekalongan batik industry. BIOMEJ, 3(2), 11–19. https://doi.org/10.33005/biomej.v3i2.84
Yahya, A. (2022). Peramalan Indeks Harga Konsumen Indonesia menggunakan metode Seasonal-ARIMA (SARIMA). Jurnal Gaussian, 11(2), 313–322. https://doi.org/10.14710/j.gauss.v11i2.35528
Sutejo, M. B., Suprayitno, D., & Latunreng, W. (2023). Controlling raw material inventory using the Economic Order Quantity (EOQ) method at PT. ICI Paints Indonesia. Sinergi: International Journal of Logistics, 1(3), 108–122. https://doi.org/10.61194/sijl.v1i3.117
(Proceedings / conference-publisher) — Inventory management calculations using the Economic Order Quantity (EOQ). (2023). EAI Conference Proceedings. https://doi.org/10.4108/eai.7-11-2023.2342298
Marselo, M. (2023). Comparative analysis of Economic Order Quantity (EOQ) models (IJEBAR — Indonesian Journal of Economics, Business And Accounting Research). https://doi.org/10.29040/ijebar.vX.iY.8714
Wiguna, W. (2023). Analisis peramalan ekspor besi atau baja dari Indonesia ke Singapura dengan metode time series. Jurnal Maneksi, 12(3). https://doi.org/10.31959/jm.v12i3.1632
Audina, B., Fatekurohman, M., & Riski, A. (2022). Peramalan arus kas dengan pendekatan time series menggunakan support vector machine. IJAS (Indonesian Journal of Applied Statistics) / Jurnal IA S. https://doi.org/10.13057/ijas.v4i1.47953
Marjuni, A. (2022). Peramalan harga saham serentak menggunakan model multivariate singular spectrum analysis. Jurnal Sistem Informasi Bisnis, 12(1), 17–25. https://doi.org/10.21456/vol12iss1pp17-25
Utama, D. M. (2024). Economic production quantity model under back order, rework, imperfect quality, electricity tariff and emission tax (Spektrum — Jurnal UAD). (Artikel PDF jurnal lokal yang memuat DOI / metadata pada publikasi). https://doi.org/10.34025/2310-8185-2022-1.85.07
Rohman, F. (2024). Model Economic Production Quantity dengan Produk Cacat dan Perbaikan Ulang. JUSTI (Jurnal Sistem dan Teknik Industri), 4(4). https://doi.org/10.30587/justicb.v4i4.8402
Universitas Muhammadiyah Malang; Utama, D. M., Wardani, D. P., Halifah,
S. T., & Pradikta, D. C. (2024). Model Economic Production Quantity dengan Rework Process dan Batasan Gudang. Jurnal Sistem dan Manajemen Industri,
(1). https://doidoi.org/10.30656/jsmi.v3i1.1017
Hanifah Ekawati, P., Adytia, P., & Yunita, Y. (2024). Penerapan Metode EPQ (Economic Production Quantity) pada Pengendalian Bahan Baku Laundry di Samarinda Laundry Mart Barbasis Android. Jurnal Ilmiah Matrik, 22(1). https://doi.org/10.33557/jurnalmatrik.v22i1.840
Putri, A. R., Suseno, Y. D., Widajanti, E., & kawan-kawan. (2022). Analisis Pengendalian Persediaan Bahan Baku Menggunakan Metode Economic Order Quantity (EOQ) dengan Penggunaan Model Economic Production Quantity pada Batik Sriwedari di Surakarta. Jurnal Ekonomi dan Kewirausahaan, 20(1). https://doi.org/10.33061/jeku.v20i1.4370






