in each period based on the observed demand signal in that period. Moreover, the vendor is committed to a specific … with the possibility of supplementing it based on a demand signal observed at the second stage. The problem is to maximize … his expected profit subject to a constraint on his overall service performance across all possible values of the demand …

for forecast dispersion (as a timely indicator of anticipated demand risk) explains demand uncertainty sublinearly whereas …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 …

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 …

true for customer demand. As a result, stationary demand distributions are crude approximations of true customer behavior … comprehensive treatment of inventory models with Markov-modulated demand. The distribution of demand in these models depends on the …. Examples are products with cyclical and seasonal demands, products with distinct life-cycles or products whose demand …

beginning of a selling period before demand is realized. Unsatisfied demand is lost and excess inventory has to be salvaged. The … standard approach is to assume stochastic demand to be composed of deterministic functions decreasing in price and a stochastic … error term. We present an empirical study which includes demand modelling as well as price and inventory optimization. Using …

levers at their disposal for actively steering demand, notably the offered delivery time windows and their associated prices …. Unlike traditional revenue management, these demand management decisions affect both revenues and costs. This calls for a …