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About Forecasting and Risk Analysis in Supply Chain Management
This document discusses forecasting and risk analysis in supply chain management. It explores using advanced forecasting tools like autoregressive models and generalized autoregressive conditional heteroskedasticity (GARCH) models to help predict demand oscillations and reduce demand amplification in supply chains. Through simulations of a 4-stage supply chain model, the authors analyze how forecasting methods could help supply chains better manage risks from demand uncertainty. However, changes to policies around collaboration and information sharing may be needed to fully utilize advanced forecasting approaches.
Detailed Information
| Author: | ['Nasher Andi Ariastha'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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