Work

Alternative Forecasting Techniques that Reduce the Bullwhip Effect in a Supply Chain: A Simulation Study

Year: 1970

Type: article

Abstract: The research of the Bullwhip effect has given rise to many papers, aimed at both analysing its causes and correcting it by means of various management strategies because it has been considered as one of the critical problems in a supply chain. This study is dealing with one of its principal causes, demand forecasting. Using different simulated demand patterns, alternative forecasting methods are proposed, that can reduce the Bullwhip effect in a supply chain in comparison to the traditional forecasting techniques (moving average, simple exponential smoothing, and ARMA processes). Our main findings show that kernel regression is a good alternative in order to improve important features in the supply chain, such as the Bullwhip, NSAmp, and FillRate.

Source: PROMET - Traffic&Transportation

DOI: 10.7307/ptt.v25i2.1294

Authors: Francisco Campuzano-Bolarín, Antonio Guillamón Frutos, Ma Del Carmen Ruiz Abellón, Andrej Lisec

Institutions: Universidad Politécnica de Cartagena, University of Maribor, Laboratoire Interuniversitaire des Sciences de l'Education et de la Communication

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $970

OpenAlex ID: W2058986148

FWCI:

Cites: 39

Cited by: 9

Related to: 10