The impact of forecasting methods on the bullwhip effect

By Xiaolong Zhang. 2004

296 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b58e028438b44183972c60521a579bec158562d9

How researchers see this paper

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

In Management Information Systems

1. Roberto Montanari
2. Huynh Trung Luong
3. Truong Ton Hien Duc
4. Eleonora Bottani
5. Yeong-Dae Kim
6. Xun Wang
7. Stephen M. Disney

In Management Science and Operations Research

1. Huynh Trung Luong
2. Truong Ton Hien Duc
3. Eleonora Bottani
4. Yeong-Dae Kim
5. Roberto Montanari

In Strategy and Management

1. Huynh Trung Luong
2. Truong Ton Hien Duc
3. Eleonora Bottani
4. Yeong-Dae Kim
5. Roberto Montanari
6. Xun Wang
7. Stephen M. Disney

Citations in the corpus

• A measure of the bullwhip effect in supply chains with stochastic lead time (2008, methodology): “The impact of lead time on the bullwhip effect has also been studied by Wickner et al. [21], Chen et al. [13, 14], Lee et al. [12], Zhang [ 16 ], Luong [17], Luong and Phien [18], and Duc et al. [20].”
• Supply chain design and cost analysis through simulation (2010, methodology): “According to several studies in literature (Chatfield et al., 2004; Zhang, 2004), the number of”
• EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II (2006, unknown): “Forecast errors also contribute to the bullwhip effect, the tendency of orders to increase in variability as one moves up a supply chain (Chandra & Grabis, 2005; Dejonckheere, Disney, Lambrecht, & Towill, 2003, 2004; Zhang, 2004).”