Perencanaan Bahan Baku berbasis Integrasi Model Probabilistik Pengendalian Inventory pada Produk Sparepart di PT XYZ

Abstract

ANDHIKA SURYO DWI CAHYO. Perencanaan Bahan Baku berbasis Integrasi Model Probabilistik Pengendalian Inventory pada Produk Sparepart di PT XYZ. Dibimbing oleh SESAR HUSEN SANTOSA dan RIZDA DWIYANTI. Penelitian ini bertujuan mengembangkan perencanaan persediaan sparepart berbasis integrasi peramalan permintaan dan model probabilistik di PT XYZ. Permasalahan yang dihadapi perusahaan adalah terjadinya overstock akibat ketidaktepatan dalam mengantisipasi fluktuasi permintaan, sehingga meningkatkan biaya penyimpanan. Metode yang digunakan meliputi peramalan dengan Double moving average (DMA) dan Double exponential smoothing (DES), serta model probabilistik untuk menentukan reorder point (ROP) dan safety stock. Hasil menunjukkan bahwa metode terbaik adalah DES dengan nilai MAPE sebesar 4% dan hasil peramalan sebesar 14.800 unit. Berdasarkan model probabilistik diperoleh ROP sebesar 33.375 part dan safety stock sebesar 3.376 part. Integrasi dengan Material requirement planning (MRP) menghasilkan total biaya persediaan sebesar Rp181.982.755, lebih rendah dibandingkan metode perusahaan. Dengan demikian, pendekatan ini mampu mengurangi overstock dan meningkatkan efisiensi pengendalian persediaan di PT XYZ.

ANDHIKA SURYO DWI CAHYO. Raw Material Planning Based on Integration for Inventory Control for Spare Part Products at PT XYZ. Supervised by SESAR HUSEN SANTOSA and RIZDA DWIYANTI. This study aims to develop spare part inventory planning based on the integration of demand forecasting and a probabilistic model at PT XYZ. The problem faced by the company is overstock caused by inaccurate anticipation of demand fluctuations, resulting in increased holding costs. The methods used include forecasting using Double moving average (DMA) and Double exponential smoothing (DES), as well as a probabilistic model to determine the reorder point (ROP) and safety stock. The results show that the best method is DES with a MAPE value of 4% and a forecast result of 14,800 units. Based on the probabilistic model, the ROP is 33,375 parts and safety stock is 3,376 parts. Integration with Material requirement planning (MRP) results in a total inventory cost of Rp345.594.700, which is lower than the company’s existing method. Therefore, this approach can reduce overstock and improve inventory control efficiency at PT XYZ.