The Inventory Problem with A Non-Symmetric Loss Function

Abstract

The paper deals with the inventory problem with uncertain demand and a non-symmetric loss function using normal quantile estimation theory The future demand is predicted via Bayesian theory by using data on previous demands. The paper minimizes an inter temporal loss function by choosing 'new' orders. The micro approach of this paper begins by specifying why and how can an inter temporal loss function be minimized and thus explains a richer variation of inventory behavior than an production smoothing model.