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The purpose of this paper is to apply the MUSA method to the information gathered in periodic surveys monitoring student satisfaction (ESAT, for its acronym in Spanish). The surveys serve to diagnose the level of undergraduate students' current satisfaction at Universidad de los Andes (Colombia), and to identify the importance and the current performance of each of the aspects assessed by the institution. In addition, it sheds light on the elements that students consider most valuable as part of their satisfaction, taking the results issued by a significant sample of respondents. Finally, the study presents aspects that require the University's attention in order to improve student satisfaction. [ABSTRACT FROM AUTHOR]

This paper proposes an Ant Colony Optimization method to solve the investment problem for the Transmission Expansion Planning Problem for Electrical Power Systems. Operative problem of Linear Programming is solved trough a High Order Interior Point Method. Moreover, the solution of a Non Linear Interior Point Method is used as a sensitivity index to initialize pheromone matrix used in the Ant Colony Algorithm, where is proposed a method with two stages to obtain a solution. The methodology is tested on the 24 and 6 Bus IEEE systems. [ABSTRACT FROM AUTHOR]

This paper presents a mathematical model of the problem of the planning of systems of electrical distribution which considers the location and sizing of new feeders and substations, and the reconductorazing of existing feeders. The mathematical model used is of the type Lineal Mixed Integer Programming (LMIP) and to solve it, an algorithm of Branch and Bound is used. In order to test the proposed algorithm, the electrical system of the city of Pereira is used. [ABSTRACT FROM AUTHOR]

This paper presents the results of a consulting project in which a linear programming model was developed for establishing optimal packaging and delivery policies in a Colombian food company. The problem consists in minimizing transportation costs subject to capacity and packaging constraints and demand satisfaction. A sensitivity analysis showing possible future scenarios is also presented. Currently the company uses the model for optimizing its logistics operations. [ABSTRACT FROM AUTHOR]