Raw Material Requirement Planning for Wooden Frames Using the MRP Method

Authors

  • Tisna Anidia STT Wastukancana Purwakarta
  • Asep Hermawan Sekolah Tinggi Teknologi Wastukancana
  • Yayan Heru Haerudin Sekolah Tinggi Teknologi Wastukancana

DOI:

https://doi.org/10.33506/mt.v11i2.4714

Keywords:

Forecasting, Lot Sizing, Material Requirement Planning, Wooden Frames

Abstract

Uncontrolled raw material inventory can lead to either excess or shortage of stock, thereby hampering the production process. This condition is also experienced by CV. Arafah Jaya, a manufacturer of window and door frames, where frequent stockpiling of raw materials results in high inventory costs. This study aims to systematically plan raw material requirements using the Material Requirement Planning (MRP) method. Demand forecasting was carried out using the Moving Average and Exponential Smoothing methods, with the evaluation showing that Exponential Smoothing produced more accurate results. The forecasting data were then used to develop the Master Production Schedule (MPS) as the basis for calculations in the MRP system. The analysis continued with the application of three lot-sizing techniques, namely Lot for Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). The comparison results indicate that the LFL technique yields the lowest total procurement cost of raw materials, amounting to IDR 7,290,380. Thus, the LFL technique is considered the most efficient method for controlling raw material procurement at CV. Arafah Jaya.

References

Adolph, R. (2016). 済無No Title No Title No Title. 1–23.

Fahmi, S., & Nanda. (2015). Pengendalian Persediaan Bahan Baku Dengan Menggunakan Metode Eoq Pada Ud. Adi Mabel. Jurnal Teknovasi, 02(1), 1–11. https://journal.feb.unmul.ac.id/index.php/AKUNTABEL/article/view/9578%0Ahttps://journal.feb.unmul.ac.id/index.php/AKUNTABEL/article/download/9578/1310

Fikri, M., & Widarman, A. (2023). Perencanaan Persedian Kebutuhan Bahan Baku Genteng, Paving Block, Batako Menggunakan Metode Material Requirement Planning (Mrp) Di Pt. Xyz. ARMADA : Jurnal Penelitian Multidisiplin, 1(8), 929–938. https://doi.org/10.55681/armada.v1i8.801

Mahfud Al, A., Kurniasari, D., Mustofa Usman, & Pesawat, P. (2020). Peramalan Data Time Series Seasonal Menggunakan Metode Analisis Spektral. Jurnal Siger Matematika, 1(1), 10–15.

Mandala, R., & Darnila, E. (2017). Peramalan Persediaan Optimal Beras Menggunakan Model Economic Order Quantity (EOQ)Pada UD. Jasa Tani. Sisfo: Jurnal Ilmiah Sistem Informasi, 1(2). https://doi.org/10.29103/sisfo.v1i2.246

Permadani, S. B., Widajanti, E., & Sunarso, S. (2020). Analisis Pengendalian Persediaan Bahan Baku Dengan Menggunakan Metode Material Requirement Planning Pada Pt. Dan Liris Di Sukoharjo. Jurnal Ekonomi Dan Kewirausahaan, 19(1), 103–113. https://doi.org/10.33061/jeku.v19i1.3947

Purnama, D. H. D., & Pulansari, F. (2020). Perencanaan dan Pengendalian Bahan Baku Produksi Kerupuk dengan Metode MRP untuk Meminimumkan Biaya Persediaan Bahan Baku di UD. XYZ. Jurnal Manajemen Industri Dan Teknologi, 1(4), 49–57.

Saputra, R. A., Kholidasari, I., Sundari, S., & Setiawati, L. (2020). Analisis Perencanaan Bahan Baku Di Ud. Aa Dengan Menerapkan Metode Material Requirement Planning (Mrp). Jurnal Logistik Indonesia, 5(1), 1–12. https://doi.org/10.31334/logistik.v5i1.1180

Sutoni, A. (2020). Analisis Persediaan Menggunakan Metode Periodic Order Quantity (Poq) (Studi Kasus : Di B.B.Barokah Cianjur). Jurnal IKRA-ITH Teknologi, 2(3), 55–61.

Wahyuni, Asvin; Syaichu, A. (2018). Perencanaan Persediaan Bahan Baku Dengan Menggunakan Metode Material Requirement Planning (MRP) Produk Kacang Shanghai Pada Perusahaan Gangsar Ngunut-Tulungagung. Gastronomía Ecuatoriana y Turismo Local., 1(69), 5–24.

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Published

30-10-2025

How to Cite

Anidia, T., Hermawan, A., & Haerudin, Y. H. (2025). Raw Material Requirement Planning for Wooden Frames Using the MRP Method. Metode : Jurnal Teknik Industri, 11(2), 343–355. https://doi.org/10.33506/mt.v11i2.4714

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