Fernando Lopez

Universidad Autónoma de Nuevo León, FIME - Graduate Program in Systems Engineering, Faculty Member

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Using MILP Tools to Study R&D Portfolio Selection Model for Large Instances in Public and Social Sector Usando Herramientas de MILP para Estudiar el Modelo de Selección de Portafolios R&D para Casos de Grandes Carteras de Proyectos en el Sector Social

In this paper a mixed-integer linear programming (MILP) model is studied for the bi-objective pub... more In this paper a mixed-integer linear programming (MILP) model is studied for the bi-objective public R&D projects portfolio problem. The proposed approach provides an acceptable compromise between the impact and the number of supported projects. Lagrangian relaxation techniques are considered to get easy computable bounds for the objectives. The experiments show that a solution can be obtained in less than a minute for instances comprising of up to 25,000 project proposals. This brings significant improvement to the previous approaches that efficiently manage instances of a few hundred projects. Keywords: R&D projects portfolios, mixed integer programming, multi-objective optimization.

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ALGORITMO INTERACTIVO PARA LA EXPLORACIÓN DEL CONJUNTO DE CARTERAS DE PROYECTOS DE I&D EN ORGANIZACIONES PÚBLICAS

En este trabajo se analizan los retos que implica la implementación de un Sistema de Apoyo a la D... more En este trabajo se analizan los retos que implica la implementación de un Sistema de Apoyo a la Decisión para la formación de carteras de proyectos de investigación-desarrollo en organizaciones públicas. Primeramente se propone un modelo matemático multiobjetivo que considera tanto la calidad de la cartera como la cantidad de proyectos aprobados. Se proponen también asignaciones de dinero a los

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Using MILP Tools to Study R & D Portfolio Selection Model for Large Instances in Public and Social Sector

Computación y Sistemas, Dec 2008

In this paper a mixed–integer linear programming (MILP) model is studied for the bi–objective pub... more In this paper a mixed–integer linear programming (MILP) model is studied for the bi–objective public R & D projects portfolio problem. The proposed approach provides an acceptable compromise between the impact and the number of supported projects. Lagrangian relaxation techniques are considered to get easy computable bounds for the objectives. The experiments show that a solution can be obtained in less than a minute for instances comprising of up to 25,000 project proposals. This brings significant improvement to the previous approaches that efficiently manage instances of a few hundred projects

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Fernando Lopez

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