A Critical Uncertainty in Linear Programming: Addressing shortcomings and uncertainties in linear programming

Abstract

Linear programming (LP) is one of the great successes to rise up out of operations research. It is well developed and widely used. LP problems in practice are regularly in view of numerical data that speak to harsh approximations of amounts that are innately hard to appraise. On account of this, most LP-based studies include a post optimality investigation of how an adjustment in the information changes the solution. Specialists routinely embrace this sort of the most business bundles for solving linear programs incorporate the aftereffects of such an examination as a component of the standard yield report. LP has shortcomings that run in opposition to customary way of thinking. Exchange models address these inadequacies.