2020American Journal of ManagementOpen access

A Study on Various Forecasting Methods and Their Effects on the Bullwhip Effect and Inventory in the Simulated Supply Chain

Petr Kubat, Haijun Wang

Open full text 0 citations

Abstract

This study conducted a simulation of a four-echelon linear supply chain measuring the bullwhip effect and inventory-related markers of each echelon within the system. The research model is examined using both fixed demand with a sudden change in its pattern and 20 various stochastic demands. Simple exponential, Holt’s exponential smoothing, and Brown’s double exponential smoothing methods are employed to predict the demand, and the smoothing replenishment ordering system is utilized in placing orders. Results revealed that the supply chain performs the best when using the simple exponential method. Simple exponential method’s superiority is notable in all the markers observed.

Open-access reader

About this research paper

What this paper is about

This study conducted a simulation of a four-echelon linear supply chain measuring the bullwhip effect and inventory-related markers of each echelon within the system. The research model is examined using both fixed demand with a sudden change in its pattern and 20 various stochastic demands. Simple exponential, Holt’s exponential smoothing, and Brown’s double exponential smoothing methods are employed to predict the demand, and the smoothing replenishment ordering system is utilized in placing orders. Results revealed that the supply chain performs the best when using the simple exponential method. Simple exponential method’s superiority is notable in all the markers observed.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This study conducted a simulation of a four-echelon linear supply chain measuring the bullwhip effect and inventory-related markers of each echelon within the system. The research model is examined using both fixed demand with a sudden change in its pattern and 20 various stochastic demands. Simple exponential, Holt’s exponential smoothing, and Brown’s double exponential smoothing methods are employed to predict the demand, and the smoothing replenishment ordering system is utilized in placing orders. Results revealed that the supply chain performs the best when using the simple exponential method. Simple exponential method’s superiority is notable in all the markers observed.

Key concepts: Exponential smoothing, Bullwhip effect, Exponential function, Supply chain, Simple (philosophy), Smoothing, Moving average, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
A Study on Various Forecasting Methods and Their Effects on the Bullwhip Effect and Inventory in the Simulated Supply Chain — Research Paper | ScholarLens