Abstract
Proper selection of information sharing policy and forecasting method has a significant impact on supply chain performance, especially in the high-tech industry where the product life cycle is short and multiple generations of products coexist. This paper evaluates the value of information sharing with various forecasting methods where two generations of high-tech products compete with each other in the same market. We consider two market environmental factors and two supply chain factors for the Monte Carlo Simulation and find out the most ideal combination of information sharing policy and forecasting method producing the maximum profits and service level.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 276-287 |
| Number of pages | 12 |
| Journal | European Journal of Operational Research |
| Volume | 186 |
| Issue number | 1 |
| DOIs | |
| State | Published - Apr 1 2008 |
Keywords
- Bullwhip effect
- Forecasting
- Monte Carlo Simulation
- Multi-generation diffusion
- Supply chain management
ASJC Scopus subject areas
- Computer Science(all)
- Modeling and Simulation
- Management Science and Operations Research
- Information Systems and Management