
Please use this identifier to cite or link to this item:
https://repositori.mypolycc.edu.my/jspui/handle/123456789/7156| Title: | INVENTORY MANAGEMENT USING DEMAND SALES FORECASTING |
| Authors: | Tejas Belgamwar Ninad Sayare |
| Keywords: | Inventory management system Maximum profit Lean inventory Time series forecasting Trend Seasonality |
| Issue Date: | 2021 |
| Publisher: | Research India Publications |
| Series/Report no.: | International Journal of Operations Management and Services;Volume 11, Number 1 (2021), pp. 1-10 |
| Abstract: | The purpose of the exercise was to find fitting solution to the problems faced in supply chain – How to decide the Inventory? How to maintain lean operations without hampering service levels? In our experience in the industry, we have found that in the lack of a better solution, companies have adopted simplistic methods, incorrectly assessing their need and in turn taking a strategic backseat in the competitive space. Ironically the answer to this archaic problem has always been in their hands – Data. Our module leverages sophisticated statistical models like Holts winter, AR, ARMA, ARIMA & SARIMA available in Python Libraries. The module is made so that an average excel user will be able to leverage available data and decide optimum inventory. |
| URI: | https://repositori.mypolycc.edu.my/jspui/handle/123456789/7156 |
| ISSN: | 2277–3193 |
| Appears in Collections: | JABATAN PERDAGANGAN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Inventory Management using Demand Sales forecasting.pdf | 472.63 kB | Adobe PDF | View/Open |
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