Analysis of time-series method for demand forecasting

Aayushi Verma; Aishwarya Karan; Aaroh Mathur; S. Chethan

doi:10.3923/jeasci.2017.3102.3107

Analysis of time-series method for demand forecasting

Aayushi Verma, Aishwarya Karan, Aaroh Mathur, S. Chethan

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This study focuses on analyzing the demand for raw material supply for a university dining mess using time series method which falls under quantitative approach of demand forecasting and gives a detailed step by step process of analysis. This method accurately forecasts the daily demand within a span of four months, thereby eliminating the concern of mess authorities on their budgeting and supply of raw material for university dining mess on a daily basis.

Original language	English
Pages (from-to)	3102-3107
Number of pages	6
Journal	Journal of Engineering and Applied Sciences
Volume	12
Issue number	12
DOIs	https://doi.org/10.3923/jeasci.2017.3102.3107
Publication status	Published - 01-01-2017

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.3923/jeasci.2017.3102.3107

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Analysis of time-series method for demand forecasting

Abstract

All Science Journal Classification (ASJC) codes

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