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

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