J
Jennifer K. Ryan
Researcher at University of Nebraska–Lincoln
Publications - 38
Citations - 4030
Jennifer K. Ryan is an academic researcher from University of Nebraska–Lincoln. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 16, co-authored 36 publications receiving 3633 citations. Previous affiliations of Jennifer K. Ryan include University of Notre Dame & Purdue University.
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Journal ArticleDOI
Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
TL;DR: In this article, the authors quantify the effect of the bullwhip effect on simple two-stage supply chains consisting of a single retailer and a single manufacturer and demonstrate that the effect can be reduced by centralizing demand information.
Journal ArticleDOI
Residual-life distributions from component degradation signals: A Bayesian approach
TL;DR: Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models are developed and used to develop a closed-form residual-life distribution for the monitored device.
Journal ArticleDOI
The impact of exponential smoothing forecasts on the bullwhip effect
TL;DR: In this paper, the authors demonstrate that the use of an exponential smoothing forecast by the retailer can cause the bullwhip effect and contrast these results with the increase in variability due to the using of a moving average forecast.
Journal ArticleDOI
Competition and Coordination in Online Marketplaces
TL;DR: In this paper, the authors consider a single retailer, who currently sells its product only through its own website, but who may choose to contract with Amazon to sell its product through the marketplace system.
Book ChapterDOI
The Bullwhip Effect: Managerial Insights on the Impact of Forecasting and Information on Variability in a Supply Chain
TL;DR: The bull-whip effect as discussed by the authors suggests that demand variability increases as one moves up a supply chain, and this increase in variability propagates up the supply chain and distorts the pattern of orders received by distributors, manufacturers and suppliers.