Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Value of Information in Capacitated Supply Chains
Management Science
Decentralized Multi-Echelon Supply Chains: Incentives and Information
Management Science
Decentralized supply chains subject to information delays
Management Science
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
A Single-Item Inventory Model for a Nonstationary Demand Process
Manufacturing & Service Operations Management
Manufacturing & Service Operations Management
Analysis of a Forecasting-Production-Inventory System with Stationary Demand
Management Science
The Effect of Collaborative Forecasting on Supply Chain Performance
Management Science
Integrating Replenishment Decisions with Advance Demand Information
Management Science
The Value of Information Sharing in a Two-Level Supply Chain
Management Science
Supply Chain Inventory Management and the Value of Shared Information
Management Science
A Time-Series Framework for Supply-Chain Inventory Management
Operations Research
Coordinating Supply Chains by Controlling Upstream Variability Propagation
Manufacturing & Service Operations Management
How a Base Stock Policy Using "Stale" Forecasts Provides Supply Chain Benefits
Manufacturing & Service Operations Management
Management Science
Information Sharing in a Supply Chain Under ARMA Demand
Management Science
Approximate Solutions of a Dynamic Forecast-Inventory Model
Manufacturing & Service Operations Management
In Search of the Bullwhip Effect
Manufacturing & Service Operations Management
On ordering adjustment policy under rolling forecast in supply chain planning
Computers and Industrial Engineering
Information Transmission and the Bullwhip Effect: An Empirical Investigation
Management Science
A Multiordering Newsvendor Model with Dynamic Forecast Evolution
Manufacturing & Service Operations Management
Bullwhip Effect Measurement and Its Implications
Operations Research
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The value of information sharing and how it could address the bullwhip effect have been the subject of studies in the literature. Most of these studies used different forms of demand models, assuming that no order smoothing was used by the retailer and that the supplier has full knowledge of the retailer's demand model and order policy. In this paper, we contribute to the literature by starting with a most general demand model, coupled with a smoothing policy for order variability control. In addition, we do not require that the supplier has full knowledge of the retailer's demand model and order policy, but instead let the retailer share its projected future orders (and freely revise them as the retailer sees fit). Under such a setting, we first obtain a unifying formula for the magnitude of the bullwhip effect. The formula indicates that it is the forecast correlation over the exposure period as a whole that determines the magnitude of the bullwhip effect. We then quantify the value of information sharing and generalize the existing results in the literature. Finally, we explore the optimal smoothing parameters that could benefit the total supply chain. The resulting optimal policy resembles the postponement strategy. We find that information sharing together with order postponement improves the supply chain performance, even though the order variability may amplify in some cases.