Wholesale Level Reorder Point and Reorder Quantity Computation during Periods of Declining Demand.

摘要

For several decades the U.S. Navy has used a set of specific mathematical inventory models to help wholesale item managers make management decisions concerning consumable items of material. Implicit in these models is the assumption that the mean of quarterly demand for an item remains constant over time. This assumption is violated often, particularly during periods of force reduction or when equipment is retired. When this declining demand pattern occurs, the inventory models usually keep stock levels too high. This results in excess material known as 'inapplicable' inventory. Recently, inapplicable inventory in the Navy estimated to be as high as 10.4 billion dollars. Navy logisticians have invested a great deal of effort in solving this problem, mainly by focusing on forecasting. While improved forecasting may reduce inapplicable inventory to some extent, it will not, solve the problem. This research has explored the problem of inapplicable inventory, its model-based causes and alternative solutions. The resulting inventory model, designed specifically to work easily within the existing Navy UICP inventory information system, significantly reduced inapplicable inventory in several simulations which were run in this research.