In Search of the Bullwhip Effect

By Gérard P. Cachon, Taylor R. Randall, Glen M. Schmidt. Manufacturing & Service Operations Management, 2007

376 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Information Systems, Marketing

View Paper: https://www.semanticscholar.org/paper/99c4f01076f4f39ba06d6ec092d246851f419f06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Jin Zhang
2. Shitao Yang
3. Shilei Yang
4. Jun Shan
5. Arkadi Nemirovski
6. Haim Mendelson
7. Laurent El Ghaoui
8. Stephen M. Disney

In Management Information Systems

1. Xun Wang
2. Jin Zhang
3. Shitao Yang
4. Shilei Yang
5. Jun Shan
6. Stephen M. Disney
7. Arkadi Nemirovski
8. Haim Mendelson

In Marketing

1. Jin Zhang
2. Shitao Yang
3. Shilei Yang
4. Jun Shan
5. Haim Mendelson
6. Stephen M. Disney
7. Xun Wang
8. Robert L. Bray

Citations in the corpus

• Information Transmission and the Bullwhip Effect: An Empirical Investigation (2012, positive): “So far, most researchers, including Cachon et al. (2007), have been looking at order variability as the measure of the bullwhip effect.”
• An Empirical Study of the Bullwhip Effect in China (2014, methodology): “Ourstudy has some similarities to Cachon et al. (2007), but our analysis is based on firm-level data in China.”
• Robust Optimization (2021, background): “The objective of most of the studies is to minimize the bullwhip effect by minimizing either the ratio or the difference between the order variance and the demand variance [41, 36, 118].”
• The inventory performance of forecasting methods: Evidence from the M3 competition data (2019, background): “Monthly or even seasonal data at the industry level has been widely applied in inventory and bullwhip analysis (Cachon et al., 2007).”