A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains

A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains

Precise demand forecasting and agile pricing strategies are crucial in modern business. This study aims to enhance these strategies by evaluating the efficacy of Holt-Winters Exponential Smoothing (HWES) and Autoregressive Integrated Moving Average (ARIMA) models. The study assesses their performanc...

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Bibliographic Details
Main Authors: Lalji Kumar, Sudhakar Khedlekar, U.K. Khedlekar
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Supply Chain Analytics
Subjects:
Demand forecasting
Holt winter exponential smoothing
Autoregressive integrated moving average
Dynamic pricing
Inventory optimization
Predictive analytics
Online Access:http://www.sciencedirect.com/science/article/pii/S294986352400027X
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