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Analisis Peramalan Permintaan untuk Mendukung Pengendalian Persediaan Bahan Baku Utama Produksi: Studi Kasus pada UKM Pakaian W&L Home Industry, Tangerang.
This study aims to determine the efficiency level and cost savings in the production process to add value and reduce the opportunity lost of W&L Home Industry, Tangerang which operates in the textile and apparel industry. This study uses the sales report of W&L Home Industry between 2016 and 2019, particularly analyzing the sales data of the year 2019. Data of this study are obtained through various resources such as online interviews, location observation, journals, supporting books, and the internet. As for the research method, this study used the time series quantitative demand forecasting techniques, namely the moving average, weighted moving average, exponential smoothing, holt’s model, winter’s model, and the EOQ method in conducting the analysis of demand forecast to control the main raw materials. The results show that the exponential smoothing method with α = 0.3 is the best and most appropriate method for UKM W&L since it has the minimum error value, MAD of 4120 and MSE of 23.139.777. In the raw material for production control using the EOQ method, the optimum order quantity (Q*) is 1,364 kg/order, the frequency of orders is 17 times a year (interval 21 days) with an order period once a month in January - July and once every two weeks in August - December, and there is a cost savings of 22% per year or equivalent to IDR 297.122.880/year. In addition, this study provides a prediction of the demand for W&L SMEs in 2023-2025 using the exponential smoothing technique α = 0.3 and the EOQ method. It shows that a cost savings of 21% per year for the periods 2023 and 2024 also 23% per year by 2025..Ada Tabel
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| 13085 | PSB lt.2 - Karya Akhir | 1 |
| Penerbit | Depok: Program Studi Manajemen Fakultas Ekonomi dan Bisnis UI 2021 |
|---|---|
| Edisi | - |
| Subjek | Inventory control Family business Small and Medium Enterprises Textile and Apparel Industry Demand Forecasting |
| ISBN/ISSN | - |
| Klasifikasi | - |
| Deskripsi Fisik | xv, 100 p. ; diagr. ; 30 cm |
| Info Detail Spesifik | - |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas | Tidak Ada Data |