Abstract
The value of demand forecast information has been the subject of numerous studies in the inventory literature, but has had limited application in production planning. This paper integrates ideas from forecast evolution and inventory theory to plan work releases into a production facility in the face of stochastic demand. The model, which is solved on a rolling horizon basis, manages the inventory, backorder, and shortfall levels at each planning epoch using chance constraints to represent desired service levels. The evolution of demand information over time is modeled using the Martingale Model of Forecast Evolution. The model is implemented using historical data from a major semiconductor manufacturer. The value of forecast evolution is quantified using a benchmark model that does not consider forecast evolution.
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