Application and Integration of Multiple Linear Regression and Linear Programming in Renewable Resource Analyses

Abstract

This paper presents preliminary results of formulating quantitatively the influence of site factors on various nutrient production measures and using these relationships in linear programming models to determine the optimum protein production on a foothill range. Site characteristics for optimum protein production were constrained to fall within the range of variables measured, and were constrained to satisfy certain inherent relationships known about these variables. This example shows a useful application of an operations research technique to resource evaluation problems.