Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information.

By Jennifer K. Ryan, Frank Y. Chen. 2000

1,462 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/94c98ba6214d32338a776831280a329592c894bf

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 Strategy and Management

Citations in the corpus

The bullwhip effect: Progress, trends and directions (2016, methodology): “Chen et al. (2000a) and Duc et al. (2008a) studied the moving average (MA) forecasting method, while Chen, Ryan, and Simchi-Levi (2000b) and Dejonckheere, Disney, Lambrecht, and Towill (2003) investigated the simple exponential smoothing (SES) method.”
Executing production schedules in the face of uncertainties: A review and some future directions (2005, background): “The potential impact of such disruptions can be quite high, as evidenced by the well-studied ''bullwhip effect'' (Chen et al., 2000) in supply chains, that causes variation at downstream nodes in the supply chain to be amplified at upstream stages.”
Models for Supply Chains in E-Business (2003, background): “Chen et al. (2000) quantify the effect of forecasting and lead times on the bullwhip effect under stylized supply chain settings.”
Supply chain integration in vendor-managed inventory (2007, background): “Much of this literature has shown that the bullwhip effect can be minimized through information sharing in the supply chain [2,5,13,15,16].”
Measuring and avoiding the bullwhip effect: A control theoretic approach (2003, methodology): “This analytical bullwhip measure can be shown, after the necessary replacement of variables, to be exactly the same as the bound found by Chen et al. (2000b). This verifies that obviously our z-transform model of order-up-to policies with exponential smoothing is the same as the tight bound on varia”
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.”
Coordination mechanisms of supply chain systems (2007, background): “To implement this solution, Chen et al. (2000) proposed that a franchise fee (a fixed payment per period) from each buyer to the supplier is negotiated between the supplier and each buyer to reallocate the benefits.”
OM Forum - Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology (2020, positive): “Trustworthy information about sales can reduce the bullwhip effect (Chen et al. 2000).”