A Resource Allocation Model for an Employability Planning System
Abstract
Two approaches have been considered in the optimal resource allocation model as applied to different CETA (Comprehensive Employment and Training Act) programs. The presence of random parameters (the fraction of time spent by a client in each of the training programs) in the problem makes it difficult to handle analytically. In the first approach, an appropriate probability distribution is found by statistical tests and used as a first approximation in a linear programming formulation. In the second approach, a search and simulation technique is employed, using solutions from the first approach as inputs.

