A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers

We examine the impact of three forecasting methods on the bullwhip effect in a two-stage supply chain with one supplier and two retailers. A first order mixed autoregressive-moving average model (ARMA(1, 1)) performs the demand forecast and an order-up-to inventory policy characterizes the inventory...

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Main Authors: Junhai Ma, Xiaogang Ma
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/796384
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author Junhai Ma
Xiaogang Ma
author_facet Junhai Ma
Xiaogang Ma
author_sort Junhai Ma
collection DOAJ
description We examine the impact of three forecasting methods on the bullwhip effect in a two-stage supply chain with one supplier and two retailers. A first order mixed autoregressive-moving average model (ARMA(1, 1)) performs the demand forecast and an order-up-to inventory policy characterizes the inventory decision. The bullwhip effect is measured, respectively, under the minimum mean-squared error (MMSE), moving average (MA), and exponential smoothing (ES) forecasting techniques. The effect of parameters on the bullwhip effect under three forecasting methods is analyzed and the bullwhip effect under three forecasting methods is compared. Conclusions indicate that different forecasting methods lead to different bullwhip effects caused by lead time, underlying parameters of the demand process, market competition, and the consistency of demand volatility between two retailers. Moreover, some suggestions are present to help managers to select the forecasting method that yields the lowest bullwhip effect.
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spelling doaj-art-bb64bace36574b1e8c12e39e212f315f2025-02-03T01:24:01ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/796384796384A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two RetailersJunhai Ma0Xiaogang Ma1College of Management and Economics, Tianjin University, Tianjin 300072, ChinaCollege of Management and Economics, Tianjin University, Tianjin 300072, ChinaWe examine the impact of three forecasting methods on the bullwhip effect in a two-stage supply chain with one supplier and two retailers. A first order mixed autoregressive-moving average model (ARMA(1, 1)) performs the demand forecast and an order-up-to inventory policy characterizes the inventory decision. The bullwhip effect is measured, respectively, under the minimum mean-squared error (MMSE), moving average (MA), and exponential smoothing (ES) forecasting techniques. The effect of parameters on the bullwhip effect under three forecasting methods is analyzed and the bullwhip effect under three forecasting methods is compared. Conclusions indicate that different forecasting methods lead to different bullwhip effects caused by lead time, underlying parameters of the demand process, market competition, and the consistency of demand volatility between two retailers. Moreover, some suggestions are present to help managers to select the forecasting method that yields the lowest bullwhip effect.http://dx.doi.org/10.1155/2013/796384
spellingShingle Junhai Ma
Xiaogang Ma
A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
Abstract and Applied Analysis
title A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
title_full A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
title_fullStr A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
title_full_unstemmed A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
title_short A Comparison of Bullwhip Effect under Various Forecasting Techniques in Supply Chains with Two Retailers
title_sort comparison of bullwhip effect under various forecasting techniques in supply chains with two retailers
url http://dx.doi.org/10.1155/2013/796384
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AT junhaima comparisonofbullwhipeffectundervariousforecastingtechniquesinsupplychainswithtworetailers
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