We study a two-stage purchase contract with a demand forecast update. The purchase contract provides the buyer an … opportunity to adjust an initial commitment based on an updated demand forecast obtained at a later stage. An adjustment, if any … of demand distributions. We also discuss how these results can be applied to gain managerial insights that help in making …

optimization to maximize future revenues or profits of multiple items. The prescriptive price optimization requires accurate demand …-integer optimization (MIO) techniques. We use the optimal regression trees for demand forecasting and then formulate the associated price …

In this paper, we compare two fundamentally different judgmental demand forecasting approaches used to estimate demand … and their corresponding demand distributions. In the first approach, parameters are obtained from a linear regression and … approach ignores dispersion and instead estimates the demand distribution based on the mean demand forecast and the historic …

Despite its importance to OM, demand forecasting has been perceived as a “problem-solving” exercise; most empirical … under high demand volatility for procurement managers to make better inventory decisions. In response to requests for an … integrated forecasting methodology, we undertook an iterative process based on three guiding principles — data pooling, theory …

Demand Forecasting plays a crucial role in the management of operations, especially in the Fast-Fashion Industry, in … which demand can be very volatile and lumpy due to frequently changing customers tastes and the development of technology …. However, demand forecasting is essential for optimizing the inventory levels efficiently, assisting with predictions of …

growth. In seeking to minimize supply-demand mismatch costs and satisfy borrowing constraints, management adopted a …’s systematic bias across selling seasons, and on two alternative product segmentation approaches. Demand distributions forecast …