
Please use this identifier to cite or link to this item:
https://repositori.mypolycc.edu.my/jspui/handle/123456789/7156Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tejas Belgamwar | - |
| dc.contributor.author | Ninad Sayare | - |
| dc.date.accessioned | 2025-10-27T05:27:49Z | - |
| dc.date.available | 2025-10-27T05:27:49Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.issn | 2277–3193 | - |
| dc.identifier.uri | https://repositori.mypolycc.edu.my/jspui/handle/123456789/7156 | - |
| dc.description.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. | ms_IN |
| dc.language.iso | en | ms_IN |
| dc.publisher | Research India Publications | ms_IN |
| dc.relation.ispartofseries | International Journal of Operations Management and Services;Volume 11, Number 1 (2021), pp. 1-10 | - |
| dc.subject | Inventory management system | ms_IN |
| dc.subject | Maximum profit | ms_IN |
| dc.subject | Lean inventory | ms_IN |
| dc.subject | Time series forecasting | ms_IN |
| dc.subject | Trend | ms_IN |
| dc.subject | Seasonality | ms_IN |
| dc.title | INVENTORY MANAGEMENT USING DEMAND SALES FORECASTING | ms_IN |
| dc.type | Article | ms_IN |
| 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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