ISF session on Time Series Dissaggregation Forecast historical demand

Imagine that you must provide daily forecast results but can only obtain historical demand at monthly or weekly levels. Often times, granular demand data is not available. How do you proceed? Converting aggregate quarterly, monthly, or weekly data to daily data is example of the time series dissaggregation problem. Dr. Willemain will discuss current solutions to this problem and press an improved solution.