Alban Ibrahim, . (2024) PENGENDALIAN PERSEDIAAN BAHAN BAKU MOUNTING HM17 UNTUK PT HUAWEI DI PT BUKAKA MENGGUNAKAN PENDEKATAN LOT SIZING DAN SIMULASI MONTE CARLO. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
PT Bukaka Teknik Utama faces challenges in managing raw material supplies, especially for HM17 mounting products, where there is an imbalance between shortages and excess raw material stocks. Therefore, careful planning is needed for the supply of HM17 mounting raw materials so that operations can run efficiently and optimally. This research uses several forecasting methods, such as Moving Average (MA), Weighted Moving Average (WMA), and Single Exponential Smoothing (SES), as well as Lot sizing techniques such as Lot for Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ), with the selection of the most appropriate technique and simulated using the Monte Carlo simulation method. Based on the results of the smallest Mean Squared Error (MSE) calculation, the method chosen was the 3-period Weighted Moving Average (WMA) with a value of 58,511. Meanwhile, from the lot sizing analysis, the technique chosen is Periodic Order Quantity (POQ) which produces a total cost of Rp. 9,725,732.Of the three methods analyzed, namely the company method, Period Order Quantity (POQ) technique, and Monte Carlo simulation, the POQ technique was chosen because it is able to produce minimal raw material orders and optimal raw material supplies.
Item Type: | Thesis (Skripsi) |
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Additional Information: | [No.Panggil: 2010312099] [Pembimbing: Muhamad As'adi] [Penguji 1: Donny Montreano] [Penguji 2: Nur Fajriah] |
Uncontrolled Keywords: | Forecasting, Lot Sizing, Monte Carlo simulation |
Subjects: | L Education > LB Theory and practice of education T Technology > TS Manufactures |
Divisions: | Fakultas Teknik > Program Studi Teknik Industri (S1) |
Depositing User: | Alban Ibrahim |
Date Deposited: | 07 May 2024 06:03 |
Last Modified: | 07 May 2024 06:03 |
URI: | http://repository.upnvj.ac.id/id/eprint/29985 |
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