Statistical Forecasting for Inventory Control.

Forecasting for Inventory Control with Exponential Smoothing

Intermittent demand forecasting for inventory control: A multi-series approach

This paper is concerned with identifying an effective method for forecasting the lead time demand of slow-moving inventories. Particular emphasis is placed on prediction distributions instead of point predictions alone. It is also placed on methods which work with small samples as well as large samples in recognition of the fact that the typical range of items has a mix of vintages due to diffe...

Forecasting the forecastability quotient for inventory management

This research develops and empirically tests a model for estimating the economic advantage of using a time phased order point system (TPOP) with time series forecasting rather than a simple reorder point system in an independent demand inventorymanagement context. We define the forecastability quotient (Q ) to support this economic analysis. We implement TPOP in our empirical analysis via doubl...

Integrated Forecasting and Inventory Control for Seasonal Demand: A Comparison with the Holt-Winters Approach

We present a data-driven forecasting technique with integrated inventory control for seasonal data and compare it to the traditional Holt-Winters algorithm. Results indicate that the datadriven approach achieves a 2-5% improvement in the average regret.

Collaborative Forecasting and Inventory Management: Capacity Considerations

This paper studies the potential benefits of collaborative forecasting (CF) partnerships in supply chains that are capacity-constrained. Our supply chain consists of a manufacturer and a retailer, that operate in an information-rich environment, where one or both of them may be privy to valuable information that can be used to resolve demand uncertainty. To reflect the reality in capacity-const...