The Logistics and Production Laboratory (LPL), an applied research unit, whose objective is to operationalize the principles and methods of Mathematical Optimization, in order to generate and implement solutions to industrial problems of high impact.

To address a specific problem, the work is divided into four phases. Firstly, the problem instance is analyzed to generate a correct and representative conceptual model, including the basic assumptions, data and hypothesis. From this initial idea, in the second phase, a mathematical model must be constructed. This is expressed through a set of variables, parameters, equations, inequalities and relations, representing the conditions and requirements of the problem.

The third phase is the proposition that adequate and effective algorithms of numerical solution, using for it the most advanced methods of Linear Optimization Nonlinear existing and generating a prototype computer program, pre-competitive level, which is subjected to validation tests in contrast to the actual data of the problem. The fourth phase corresponds to the construction of a software or computer system that allows the operationalization of the proposed solution.