Information transformation in a supply chain: a simulation study
Computers and Operations Research
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"
Management Science
Is there a benefit to sharing market sales information? Linking theory and practice
Computers and Industrial Engineering
Collaborative planning, forecasting and replenishment: demand planning in supply chain management
International Journal of Information Technology and Management
Empirical testing of forecast update procedure for seasonal products
International Journal of Information Technology and Management
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts
Operations Research
The Value of Collaborative Forecasting in Supply Chains
Manufacturing & Service Operations Management
Willingness to share information in a supply chain: A partnership-data-process perspective
Information and Management
Journal of Global Information Management
Consideration of purchase dependence in inventory management
Computers and Industrial Engineering
Performance of supply chain collaboration - A simulation study
Expert Systems with Applications: An International Journal
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In this paper we consider a cooperative, two-level supply chain consisting of a retailer and a supplier. As in many practical settings, the supply chain members progressively observe market signals that enable them to explain future demand. The demand itself evolves according to an auto-regressive time series. We examine three types of supply chain configurations. In the first setting, the retailer and the supplier coordinate their policy parameters in an attempt to minimize systemwide costs, but they do not share their observations of market signals. In the second setting, resembling many original vendor-managed inventory (VMI) programs, the supplier takes the full responsibility of managing the supply chain's inventory, but the retailer's observations of market signals are not transferred to him. In our third setting, reminiscent of collaborative forecasting and replenishment partnerships, inventory is managed centrally, and all demand related information is shared. We propose a set of stylized models to study the three settings and use them to provide managerial insights into the value of information sharing, VMI, and collaborative forecasting.