This paper describes a model for making lot sizing and part dispatch decisions in multi-stage tester areas. The model explicitly models uncertainties such as random yield. A variant of the Linear Quadratic problem results for the high volume systems under consideration. The resulting feedback law enables the explicit computation of part dispatch quantities as linear functions of the local in-process inventory and arrivals. The effectiveness of the feedback policy is evaluated under different conditions.