Integrated MRP and Wagner-Whitin Planning for Vehicle Cargo-Body Materials
DOI:
https://doi.org/10.54783/influencejournal.v8i2.365Keywords:
Material Requirements Planning, Wagner–Whitin, Holt forecasting, Lot Sizing, PPIC.Abstract
PT. XYZ is a vehicle-body manufacturer producing four cargo-body variants and experiencing a persistent mismatch between growing demand and material readiness. This study develops an integrated material-planning framework that combines trend forecasting, production planning, a Master Production Schedule (MPS), Material Requirements Planning (MRP), and a cost comparison between Lot for Lot (LFL) and the Wagner–Whitin algorithm. The dataset covers monthly sales and production from January 2024 to December 2025, bills of material, beginning inventory, supplier lead times, and company-provided inventory-cost parameters. Holt’s double exponential smoothing with α=0.3 and β=0.2 achieved a mean absolute percentage error of 2.50%, a mean absolute deviation of 0.737 units, and a mean squared error of 0.902. The 2026 demand forecast totaled 680 units and was consistently disaggregated among the four product variants. MRP generated time-phased gross requirements, net requirements, planned-order receipts, and planned-order releases. Under the company’s cost-accounting scope, Wagner–Whitin reduced total cost from IDR 330.40 million to IDR 271.29 million, saving IDR 59.11 million (17.89%). When the invariant finished-product component was excluded, the lot-sizing-sensitive cost decreased by 67.53%. The results indicate that combining MRP with dynamic lot sizing can improve material-timing reliability and inventory-cost efficiency, particularly for stable-demand items with relatively high ordering costs.
References
Abdillah, G. (2023). Pengendalian persediaan main wheel ATR 72 dengan metode MRP pada PT Trans Nusa. Jurnal E-Bis, 7(1), 48–60. https://doi.org/10.37339/e-bis.v7i1.1179
Asfan, D. F. (2024). Forecasting analysis of raw material needs for manjakani and pepet key in the manufacture of Madurese herb products. PROZIMA, 8(1), 35–45. https://doi.org/10.21070/prozima.v8i1.1689
Firdaus, K. F. (2024). Analisis pengendalian persediaan bahan baku menggunakan metode material requirement planning (MRP) pada Risma Brownies & Cake Gemolong. Jurnal Riset Manajemen dan Ekonomi, 2(3), 226–248. https://doi.org/10.54066/jrime-itb.v2i3.2133
Firdaus, R. (2025). Perencanaan bahan baku sosis menggunakan metode material requirement planning (MRP) di PT RF. Jurnal Teknik Industri Terintegrasi, 8(4), 3811–3821. https://doi.org/10.31004/jutin.v8i4.48457
Gola, A. (2025). Manufacturing systems operations and engineering. Applied Sciences, 15(9). https://doi.org/10.3390/app15094617
Imansuri, F. (2024). Perencanaan agregat produksi tiang besi dengan pola permintaan musiman. JISI: Jurnal Integrasi Sistem Industri, 11(2), 203–212. https://doi.org/10.24853/jisi.11.2.203-212
Katias, P. (2018). Implementasi algoritma Wagner–Whitin pada manajemen inventori di PT X. Business and Finance Journal, 3(1), 63–76. https://doi.org/10.33086/bfj.v3i1.420
Khairani, W. (2023). Penerapan metode material requirement planning (MRP) dalam perencanaan persediaan kopi. TIN: Terapan Informatika Nusantara, 4(7), 464–473. https://doi.org/10.47065/tin.v4i7.4676
Lesmana, N. Y. A. (2023). Analisis permintaan tas anak di UD Wijaya menggunakan metode peramalan time series. Jurnal Teknik Industri, 9(2), 403–414. https://doi.org/10.24014/jti.v9i2.22745
Pekarcikova, M. (2025). Master production schedule in the consumer product goods industry: Benefits of APS applications. Applied Sciences, 15(3). https://doi.org/10.3390/app15031642
Rani, H. A. (2025). Optimization of construction material inventory using material requirement planning. Jurnal Linears, 8(1). https://doi.org/10.26618/j-linears.v8i1.17116
Renna, P. (2024). Comparison of dynamic decoupling point and dynamic buffer level for flexible flow shops in a hybrid MTS–MTO production model. Applied Sciences, 14(17). https://doi.org/10.3390/app14177975
Segerstedt, A. (2006). Master production scheduling and a comparison of material requirements planning and cover-time planning. International Journal of Production Research, 44(18–19), 3585–3606. https://doi.org/10.1080/00207540600622498
Utami, R. (2017). Perbandingan metode Holt exponential smoothing dan Winter exponential smoothing untuk peramalan penjualan souvenir. Jurnal Ilmiah Teknologi Informasi Asia, 11(2), 123–132. https://doi.org/10.32815/jitika.v11i2.191
Wagner, H. M. (1958). Dynamic version of the economic lot size model. Management Science, 5(1), 89–96.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 INFLUENCE: INTERNATIONAL JOURNAL OF SCIENCE REVIEW

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.














