Integrated Production Planning for Shoulder Leader Pin at PT XYZ
DOI:
https://doi.org/10.25170/metris.v27i01.7705Keywords:
forecasting, material requirement planning, production planning, rough-cut capacity planningAbstract
Accurate production planning plays a critical role in balancing market demand and a company’s production capacity. PT XYZ, a manufacturing company producing industrial spare parts, faces production planning issues for its shoulder leader pin product due to the absence of a structured demand forecasting system. This study aims to develop an integrated production planning framework by applying demand forecasting, Master Production Schedule (MPS), Rough-Cut Capacity Planning (RCCP), and Material Requirement Planning (MRP). One year of historical demand data was analyzed using the Double Moving Average (DMA) and Double Exponential Smoothing (DES) methods of Brown. Forecasting accuracy was evaluated using Mean Absolute Percentage Error (MAPE), with the DMA method achieving a lower MAPE of 3.10%, indicating better accuracy than DES Brown. The selected forecasting results were used as input for the development of the MPS. RCCP analysis demonstrated that the available production capacity at all workstations was sufficient to meet the planned production requirements throughout the planning horizon, without requiring additional capacity. Furthermore, MRP was conducted to determine the quantity and timing of raw material procurement for SUJ2 steel with a one-period lead time. The MRP results indicate that material requirements can be fulfilled precisely in each period without excess inventory. Overall, the implementation of an integrated production planning system enables PT XYZ to improve planning accuracy, align production capacity with demand, and enhance operational efficiency.
References
Hudiyanti, C.V., Bachtiar, F.A & Setiawan, B.D. 2019. Perbandingan double moving average dan double exponential smoothing untuk peramalan jumlah kedatangan wisatawan mancanegara di bandara Ngurah Rai. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3(3), 2667–2672.
Kamal, M.A., Shihab, M.U., Hidayat, A., Effendi, U. 2024. Rough cut capacity planning produk refined carrageenan. Journal of Industrial View, 6(2), 1–16.
Komara, M.A., Yusuf, R.A., Salim, A.Y., Wahyuni, R.S & Heryana, G. 2023. Rancang bangun sistem PPIC (Production Planning and Inventory Control) CV. Dea Ayu Lestari. Journal of Applied Mechanical Technology. 2 (1),42–50.
Liliyen, D., Hernawati, T., Harahap, B. 2020. perencanaan kapasitas produksi teh hitam menggunakan metode Rough Cut Capacity Planning di PT. Perkebunan Nusantara IV Unit Kebun Tobasari. Buletin Utama Teknik, 15(3), 249–254.
Manullang, S., Mansyur, A. 2023. Peramalan penjualan beras di perum bulog sub divre medan menggunakan metode double Exponential Smoothing. Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam. 2(1), 26–36.
Medya, N., Kamila, I. 2022. Metode double Exponential Smoothing dalam peramalan. Jurnal Statistika dan Komputasi. 2(1), 23–31.
Mutmainah, N.H. 2022. Perencanaan kapasitas percetakan Ethica Group menggunakan metode Rough Cut Capacity Planning. Jurnal Rekavasi. 10(1), 1–8.
Nusantara, P.D., Zuli, F., Kurniawan, T.A., Kusumawati, K., Nauli, S.B. 2023. Implementasi material requirements planning pada perencanaan persediaan kebutuhan bahan baku roti. Jurnal Ilmiah FIFO. 15 (1),10–18.
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.
Puspa, M.D., Darmiyati, I. 2023. Peramalan kebutuhan material filter 5M menggunakan metode Moving Average di Perusahaan XYZ. Jurnal Teknologi dan Manajemen Industri, 2(6) , 798–806.
Putri, D.M., Hasibuan, L.H., Rahmah, F., Hasanah, U., Jannah, M. 2024. Comparison of double exponential smoothing and fuzzy time series markov chain in forecasting. Jurnal Matematika dan Terapan, 18(3), 1817–1828.
Sarumaha, D. 2021. Penerapan metode Double Moving Average untuk memprediksi penjualan tiket Kereta Api. Journal of Computer Science and Information Technology, 1(1),10–13.
Septian, L.A., Juniani, A.I., Purnomo, D.A. 2018. Perhitungan kapasitas produksi dalam penyusunan master production schedule pada divisi manufacturing mould shop. Proceedings Conference Series. (pp. 263–268). Surabaya: Politeknik Perkapalan Negeri Surabaya.
Setiabudi, Y., Afma, V.M., Irwan, H. 2018. Perencanaan kapasitas produksi ATV12 dengan menggunakan metode Rough Cut Capacity Planning (RCCP) untuk mengetahui titik optimasi produksi. Jurnal Profisiensi, 6 (2), 80–87.
Suprayogi, M.A. 2022. Model Double Exponential Smoothing dalam peramalan penerimaan pajak pemerintah pusat Indonesia. Jurnal Statistika dan Komputasi, 1(2),83–92.
Supriyadi, S., Riskiyadi, R. 2016. Penjadwalan produksi IKS-Filler pada proses Ground Calcium Carbonate menggunakan metode MPS di perusahaan kertas. Sinergi, 20(2),157–164.
Yuliana, N.L., Santi, N.C., Mahmudah, N. 2025. Peramalan penjualan semen menggunakan metode Single Moving Average dan Double Moving Average. Jurnal Riset Komputer, 12(3),185–192.
Zainal Nur Hafid, M., Septiari, R., Galuh, J.H. 2024. Penjadwalan produksi pada pengolahan limbah plastik dengan metode Master Production Schedule. Jurnal Valtech, 7 (1), 215–224.









