GODELVA, GABRIELLA NATHANIA (2019) APPAREL RETAIL DEMAND FORECASTING TO MANAGE INVENTORY IN CV. PERDANA MANDIRI. S1 thesis, UNIVERSITAS ATMA JAYA YOGYAKARTA.
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Abstract
Demand forecasting is important in any part of business including retail. It assists to determine the order quantity from suppliers, safety stock in inventory, and inventory management for normal selling condition and for when there would be promotions (marketing strategy like discounts). CV. Perdana Mandiri has a clothing store with inventory problems (overstock and understock). As per request from the company, the name of the clothing store is disguised as X clothing store. A forecast tool was developed using Microsoft Excel to help X clothing store carries out demand forecast easily. The methods used in the forecast tool were simple averages, moving averages, and exponential smoothing (single exponential smoothing, double exponential smoothing, and triple exponential smoothing). Forecasting was done by grouping their SKUs to a family code group. Trial and error were done to achieve the best forecasting method with the minimum forecast error in every code group. All sixty-six code groups were forecasted, and it resulted in sixty-one code groups with triple exponential smoothing as their best methods, three code groups with single exponential smoothing as their best methods, and two code groups with simple average method as their best forecasting method
| Item Type: | Thesis (S1) |
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| Uncontrolled Keywords: | retail, apparel, time series forecasting, seasonal data forecasting. |
| Subjects: | Industrial Engineering > Production and Inventory Management |
| Divisions: | Fakultas Teknologi Industri > Teknik Industri Internasional |
| Depositing User: | Editor UAJY |
| Date Deposited: | 24 Sep 2021 10:10 |
| Last Modified: | 24 Sep 2021 10:10 |
| URI: | http://e-journal.uajy.ac.id/id/eprint/24821 |
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