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All Journal ITEj (Information Technology Engineering Journals) Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Kusuma, Yahya
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Analisis Pemesanan Konsumen PT. Kepuh Kencana Arum Dengan Metode Root Cause Analysis Kusuma, Yahya; Pulansari, Farida
Jurnal Penelitian Dan Pengkajian Ilmiah Eksakta Vol 4 No 1 (2025): Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE
Publisher : LPPM Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jppie.v4i1.1783

Abstract

Kepuh Kencana Arum is one of the leading manufacturing companies in the building materials sector, particularly products made of lightweight steel. However, in practice, PT. KKA faces several challenges in the SCM process that impact the company's operational efficiency, especially related to managing order status data. Root Cause Analysis (RCA) is a method used to solve problems by identifying the key factors that cause a problem or an undesirable event. Based on the available order data, the figures for August are 1,365,662 pcs, September 3,389,234 pcs, and October 3,989,930 pcs. In the production section, the figures for August are 1,066,229 pcs, September 2,985,195 pcs, and October 3,394,210 pcs. In August, the recorded shipment total was 931,446 pcs, which then increased significantly in September to 2,715,996 pcs, and continued to grow in October to 3,157,378 pcs.
Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials Kusuma, Yahya; Iriani, Iriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.284

Abstract

This study analyzes the integration of the multi-item Economic Order Quantity (EOQ) and Economic Production Quantity (EPQ) methods to minimize the inventory costs of outsole raw materials at UD. Santoso Mojokerto. The main problem lies in the high storage costs caused by the mismatch between purchasing quantities and the production needs of women’s flat sandals in sizes 37–39. Using demand, production, and inventory cost data for the period of August 2024–July 2025, EOQ is applied to determine the optimal order quantity, while EPQ is used to establish the optimal production quantity. The results show that integrating EOQ and EPQ can reduce total inventory costs compared to the company’s current method, while also maintaining raw material availability and ensuring smooth production processes.
Co-Authors Farida Pulansari Iriani Iriani