This article analyzes a discrete time lost sales inventory system with partially observed demand and unobserved … shrinkages which happen both before and after the demand realization. When the demand exceeds the remaining inventory, the unmet … demand is lost and unobserved. This problem in general has a nonlinear state evolution, and we use unmoralized probability to …

This paper considers the case of partially observed demand in the context of a multi-period inventory problem with lost … sales. Demand in a period is observed if it is less than the inventory level in that period and the leftover inventory is …. These observations are used to update the demand distributions over time. The state of the resulting dynamic program …

placed only at the beginning of a period, and (3) the EOQ model assumes stationary demand over an infinite horizon, whereas … we assume stationary demand in the initial few periods and allow it to be time varying in the subsequent periods. It is … assumed that the demand in a period occurs continuously at a constant rate and must be filled immediately; it means, shortages …

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 …

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 …

continuous future demands. We provide several conditions under which a discrete-demand forecast horizon is also a continuous-demand …