The impact of exponential smoothing forecasts on the bullwhip effect

By Frank Y. Chen, Jennifer K. Ryan, David Simchi-Levi. 2000

479 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/e374a66b4d8c43ea27f70df06cbd657220512b83

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

In Management Science and Operations Research

In Strategy and Management

Citations in the corpus

Avoiding the bullwhip effect using Damped Trend forecasting and the Order-Up-To replenishment policy (2014, methodology): “It has been shown that the bullwhip effect is related to the variance of forecasts as well as the variance of the forecast errors of demand over the lead-time and review period, Chen et al. (2000), Dejonckheere et al. (2003).”
Stochastic characterization of upstream demand processes in a supply chain (2003, methodology): “…forecasting method is employed the following result is found: VarðqtÞ VarðdtÞ ¼ 1þ 2Laþ 2L2a2 2 a 1 / 1 ð1 aÞ/ : ð11Þ It is interesting to note that the results of (10) and (11) are in agreement with the ones obtained under other variants of the order-up-to policy (e.g., Chen et al., 2000a, 2000b).”
The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains (2003, unknown): “As noted by Christopher and Towill (2000) there are occasions where ‘‘agile’’ is the best business solution, and where ‘‘lean’’ is the best business solution, and where some ‘‘mix’’ is required.”
The Bullwhip Effect—Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study (2004, methodology): “Sharing Our results with regard to information sharing con-ﬁrm much of what has been found when analyzing simpler systems, for example in Chen et al. (2000a), Lee et al. (1997), and Dejonckheere et al. (2004).”
Vendor-managed inventory and bullwhip reduction in a two-level supply chain (2003, background): “Many authors have recently supported using statistical measures of the bullwhip effect, for example, Chen et al. (2000b)”
Forecasting errors and the value of information sharing in a supply chain (2002, methodology): “Chen et al. (2000a) quanti®ed the bullwhip e ect using an analytical model.”
Measuring and avoiding the bullwhip effect: A control theoretic approach (2003, methodology): “…demands we can again compare the control engineering based variance amplification metric (Noise Bandwidth /  ) with the statistical bound obtained by Chen et al. (2000b) given by: It is satisfying to observe that Chen(cid:2)s statistical approach and our control theory approach result in the…”
A measure of the bullwhip effect in supply chains with stochastic lead time (2008, methodology): “Using integrated moving-average or autoregressive demand process, Graves [11], Lee et al. [12], Chen et al. [13, 14 ], Xu et al. [15], Zhang [16], Luong [17], and Luong and Phien [18] investigated the impact of different forecasting methods such as simple moving average, exponential smoothing, and ”