PENGEMBANGAN MODEL INVENTORI PROBABILISTIK UNTUK ANALISIS PERSEDIAAN BAHAN-BAHAN KIMIA DI PERUSAHAAN DAERAH AIR MINUM

DWIPURWANI, OKI and Puspita, Fitri Maya and Siti Suzlin, Siti Suzlin and Yuliza, Evi (2025) PENGEMBANGAN MODEL INVENTORI PROBABILISTIK UNTUK ANALISIS PERSEDIAAN BAHAN-BAHAN KIMIA DI PERUSAHAAN DAERAH AIR MINUM. Doctoral thesis, Sriwijaya University.

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Abstract

Inventory management is very important in planning inventory activities, making decisions in the ordering process, and ensuring the optimal storage of goods in a company. Likewise, managing chemicals in the Regional Drinking Water Company (PDAM) is essential. The inventory method that can be used in statistical inventory management problems is the Statistical Inventory Control (SIC) method. In the SIC method, several inventory models are classified based on the type of demand data, namely deterministic SIC, probabilistic SIC, and indeterminate SIC. Demand data itself is generally uncertain, but most of them have a specific probability distribution, and the method that is often used is the probabilistic SIC model by assuming that demand is normally distributed. The assumption of normal probability distribution in real data is sometimes not met. The number of chemical inventories required at the PDAM is more than one, with vendors that can be the same, so the company must decide whether to carry out an individual purchase policy or a joint replenishment policy. The demand data that researchers often use in inventory models is generally historical or sample data. It is very good to use forecast data to apply the inventory management policy solution to the current or future. Demand data usually contains volatility, so demand data forecasting is expected to accommodate volatility. One method that can be applied is Autoregressive Integrated Moving Average (ARIMA). So the objective in this research is to de

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Probabilistic Inventory, Probability Distribution Other Than Normal, SARIMA Forecasting, Sensitivity Analysis
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA37.3.1.64 Applied Mathematics
Divisions:	08-Faculty of Mathematics and Natural Science > 44001-Mathematics and Natural Science (S3)
Depositing User:	Oki Dwipurwani
Date Deposited:	30 Jan 2025 02:22
Last Modified:	30 Jan 2025 02:22
URI:	http://repository.unsri.ac.id/id/eprint/166977

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