Rio Nurdiansyah, . (2025) PERENCANAAN PERSEDIAAN PALLET KOSONG MELALUI PERBANDINGAN METODE PERAMALAN DAN MIN-MAX STOCK DI PT XYZ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
PT XYZ is an FMCG company that produces halal cosmetics in Indonesia. The main problem lies in the uncertainty of empty pallet demand caused by production bottlenecks and the absence of a quantitative approach in inventory management, leading to stockouts. This study aims to determine the appropriate forecasting method to predict the demand for empty pallets in the Production department and to calculate inventory management needs such as safety stock, reorder point, minimum and maximum stock levels, and the ideal pallet replenishment quantity. Three forecasting methods were used: Single Exponential Smoothing (SES), Autoregressive Integrated Moving Average (ARIMA), and Long Short-Term Memory (LSTM), with results showing that LSTM provided the best accuracy (MAPE 7.97%). Based on the forecasting results, inventory planning was carried out using the Min-Max Stock method under three Service Level (SL) scenarios: 95%, 90%, and 85%. Each scenario resulted in Safety Stock levels of 88, 68, and 55 pallets; Reorder Points of 1888, 1868, and 1855 pallets; and Maximum Stock levels of 3688, 3668, and 3655 pallets. The replenishment quantity was set at 1800 pallets per cycle. This implementation offers flexibility in decision-making based on risk tolerance and supports more efficient inventory management in operational activities.
Item Type: | Thesis (Skripsi) |
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Additional Information: | [No.Panggil: 2110312006] [Pembimbing: Alina Cynthia Dewi] [Penguji 1: Yulizar Widiatama] [Penguji 2: Santika Sari] |
Uncontrolled Keywords: | Forecasting, LSTM, Min-Max Stock, Empty Pallet Inventory |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HE Transportation and Communications T Technology > TS Manufactures |
Divisions: | Fakultas Teknik > Program Studi Teknik Industri (S1) |
Depositing User: | RIO NURDIANSYAH |
Date Deposited: | 31 Jul 2025 07:12 |
Last Modified: | 31 Jul 2025 07:12 |
URI: | http://repository.upnvj.ac.id/id/eprint/37689 |
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