GISKA NATASYA, -
ANALISA PENGENDALIAN PERSEDIAAN SUKU CADANG PADA PUMPING UNIT DENGAN MENGGUNAKAN METODE JARINGAN SARAF TIRUAN.
Jurnal Ekonomi.
ISSN 2301-6280
(Submitted)
Abstract
ABSTRACT
This study aims to analyze the control of spare parts inventory in pumping units at PT. XYZ using Artificial Neural Network (ANN) methods. Effective inventory management is critical in the oil and gas industry to ensure the reliability and efficiency of pumping unit operations. Delays or shortages in spare parts can lead to significant downtime and financial losses. The ANN method is chosen for its ability to predict and adapt to complex and dynamic data.
The study begins with the collection of historical data on spare parts usage and the operational parameters of the pumping units. This data is then used to train the developed ANN model. The model is evaluated based on its prediction accuracy in determining the optimal inventory levels. The results indicate that the ANN model can provide accurate predictions, helping to reduce storage costs and prevent stockouts. By implementing ANN, the company can enhance operational efficiency and ensure better availability of spare parts.
The findings of this research are expected to significantly contribute to inventory management practices in the oil and gas industry and can be applied to inventory control systems in other industrial sectors.
Keywords:
Inventory Control,
Sparepart,
Artificial Neural Network,
Backpropagation.
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