Models for Supply Chains in E-Business
Management Science
Information transformation in a supply chain: a simulation study
Computers and Operations Research
The governing dynamics of supply chains: The impact of altruistic behaviour
Automatica (Journal of IFAC)
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"
Management Science
Relational Antecedents of Information Flow Integration for Supply Chain Coordination
Journal of Management Information Systems
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
Computers and Industrial Engineering
An XML-based modular system analysis and design for supply chain simulation
Robotics and Computer-Integrated Manufacturing
Optimal production policies with multistage stochastic demand lead times
Probability in the Engineering and Informational Sciences
Does a Manufacturer Benefit from Selling to a Better-Forecasting Retailer?
Management Science
Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts
Operations Research
On conflict and cooperation in a two-echelon inventory model for deteriorating items
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Manufacturing & Service Operations Management
Trust in Forecast Information Sharing
Management Science
The Value of Collaborative Forecasting in Supply Chains
Manufacturing & Service Operations Management
Journal of Intelligent Manufacturing
A Multiordering Newsvendor Model with Dynamic Forecast Evolution
Manufacturing & Service Operations Management
Bullwhip Effect Measurement and Its Implications
Operations Research
Manufacturing & Service Operations Management
Engineering Applications of Artificial Intelligence
Information Sharing Strategies in Business-to-Business E-Hubs: An Agent-Based Study
International Journal of Intelligent Information Technologies
Journal of Global Information Management
Performance of supply chain collaboration - A simulation study
Expert Systems with Applications: An International Journal
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We consider a cooperative, two-stage supply chain consisting of two members: a retailer and a supplier. In our first model, called local forecasting, each member updates the forecasts of future demands periodically, and is able to integrate the adjusted forecasts into his replenishment process. Forecast adjustments made at both levels of the supply chain can be correlated. The supply chain has a decentralized information structure, so that day-to-day inventory and forecast information are known locally only. In our second model, named collaborative forecasting, the supply chain members jointly maintain and update a single forecasting process in the system. Hence, forecasting information becomes centralized. Finally, we consider as a benchmark the special case in which forecasts are not integrated into the replenishment processes at all. We propose a unified framework that allows us to study and compare the three types of settings. This study comes at a time when various types of collaborative forecasting partnerships are being experimented within industry, and when the drivers for success or failure of such initiatives are not yet fully understood. In addition to providing some managerial insights into questions that arise in this context, our set of models is tailored to serve as building blocks for future work in this emerging area of research.