i need a response to three post

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Accuracy of forecasting models for developing production plans (how are they measuring accuracy?)

“What would you consider a good level of forecast accuracy in our business?” is probably the single most frequent question we get from customers, consultants and other business experts alike.

There is more than one point to forecasting

SAS international

the primary benefit of good forecasting software is reduced uncertainty around the most likely forecast, as well as potential improvement in accuracy. The main driver of business performance in managing capacity for a call center is the cost of call handling to deliver a specified level of service to customers. (Note that call handling costs include personnel costs (salaries and benefits), scheduling, availability of current resources, likely attrition of existing staff, cost and timeframe to bring on new trained staff, and other factors.) Put too few call center agents on the phones, and your service level suffers; put too many agents on the phones, and cost per call suffers.

Improved accuracy around demand for inbound calls will certainly help the capacity planners target the most appropriate number of agents to schedule for any period of time.

New products, especially those requiring new technology or manufacturing processes that require a lot of capital investment, can be a big gamble. If we fail to take into consideration the uncertainty (risk) in our point forecasts, we may take unnecessarily dangerous gambles.

We are, of course, not saying that you should stop measuring forecast accuracy altogether. It is an important tool for root cause analysis and for detecting systematic changes in forecast accuracy early on.

However, to get truly valuable insights from measuring forecast accuracy you need to understand several concepts.

http://www.appliedforecasting.com/there-is-more-than-one-point-to-forecasting-3/