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So, time-series analysis along with causal methods would be efficient tools for forecasting demand. As time-series methods use a variety of past data to estimate future data and causal methods generate forecasts by using some other pieces of data such as functional of inflation, GNP, the unemployment rate, etc. Using these two methods together would provide more accurate forecasting of desk jet printer demand.
In addition, demand forecasting should be centralized and shared among the supply chain. By sharing demand information, it can reduce uncertainty throughout the supply chain and can decrease cost for production and inventory holding cost...
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Common topics in this essay:
- Complex Supply Chain Networks And Supply Chain Drivers
- Hewlett-Packard Company Deskjet Printer Supply Chain (A)
- Printer Supply Chain
- Supply Chain MGT
- Supply Chain
- Supply Chain
- Supply chain
- supply chain
- supply chain
- supply chain
- supply chain
- Supply Chain Management Paradigm And Its Application To The Service And Manufacturing Industry
- B2b vs b2c supply chain
- Printer Problems
- Recommended For A Printer
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