Analisis Perbandingan Ukuran Lot Kebutuhan Material Ragum dengan Teknik Lot for Lot (LFL) dan Economic Order Quantity (EOQ)
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Issue | Vol 6 No 1 (2023): Talenta Conference Series: Energy and Engineering (EE) | |
Section | Articles | |
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Copyright (c) 2023 Talenta Conference Series: Energy and Engineering (EE) This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
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DOI: | https://doi.org/10.32734/ee.v6i1.1777 | |
Keywords: | Material Requirement Planning (MRP) Lot for Lot (LFL) Economic Order Quantity (EOQ) | |
Published | 2023-10-20 |
Abstract
Teknik perencanaan kebutuhan bahan yang menggunakan informasi tentang bill of material, stok inventaris, expected receipts, dan MPS dalam penentuan material needs. Perencanaan persediaan tepat sangat penting untuk menjaga kelancaran proses produksi dan menjamin produksi tepat waktu, serta mengoptimalkan biaya persediaan dan pemesanan. Dalam penelitian ini, metode Lot for Lot (LFL) dan Economic Order Quantity (EOQ) digunakan pada MRP untuk menentukan ukuran lot yang paling ekonomis. Setelah melakukan perhitungan MRP, ditemukan bahwa metode Lot for Lot (LFL) lebih optimal untuk produk ragum karena menghasilkan total biaya yang lebih rendah daripada EOQ.
Material Requirement Planning (MRP) is an engineering technique that utilizes information from the bill of material, inventory levels, expected receipts, and master production schedule to determine the necessary materials required for production. Accurately planning for material inventory is crucial for achieving smooth production processes, ensuring timely production completion, and minimizing overall inventory and material ordering costs. This study employed the lot-sizing methods of Lot for Lot (LFL) and Economic Order Quantity (EOQ) in MRP to determine the most economically optimal lot size for the vise product. Based on the MRP calculations using the LFL and EOQ methods, the preferred method for the vise product was found to be the LFL method, as it yielded lower total costs compared to the EOQ method.