A stochastic linear programming model to improve automobile dealership operations

In this paper the authors have presented a stochastic linear programming modeling approach for the yearly automobile inventory ordering decision. The data used in the study were collected from St Louis, Mo. (U.S.A.) based General Motor dealerships. Two microcomputer based solution methods are proposed to implement the decision model. The application in the paper illustrates the ease of use of the two methods and their informational efficacy in the new car ordering decision.