Inventory Investment Analysis Using Biased Sampling Techniques

Abstract

This paper describes the use of Biased Sampling to solve an inventory planning problem at a firm which produces plastic coated steel products. In this application, the Biased Sampling solutions provided an estimate of the inventory investment savings to be obtained from a major capital investment proposal. The problem structure, the development of biasing procedures to guide the solution process, and the computational results are presented.