Extensiones al método de conformación de equipos en ambiente competitivo
Fecha
2018-07-09
Autores
Pérez Lugo, Lázaro Jesús
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Editor
Universidad Central “Marta Abreu” de Las Villas
Resumen
La selección de equipos es una tarea importante en la gestión de los recursos humanos en la cual el propósito es realizar un proceso de selección de personal para conformar equipos. Este proceso usualmente se realiza a partir de rankings de candidatos que expresan las preferencias de los decisores. Un problema en el contexto de la selección de personal es la agregación de rankings de candidatos. En este trabajo se trata el problema de la selección de equipos en un marco diferente al clásico, pues se consideran varios decisores que deben conformar equipos a partir de un mismo conjunto de candidatos. Para ello cada decisor cuenta con un grupo de expertos que lo asesoran, brindándole un ranking de los candidatos. Para este nuevo problema se propone un método de agregación de rankings basado en Algoritmos Genéticos y un método para la conformación de quipos basado en Optimización de Colonias de Hormigas. El método basado en Algoritmo Genético que se propone encuentra, a partir de los ordenamientos generados por cada grupo de expertos, los rankings de consenso que sirven de base en la conformación de los equipos de cada decisor. Ambos métodos se añaden a la plataforma KNIME.
The team’s selection is an important task in the management of human resources in which the purpose is to carry out a process of personnel selection to form teams. This process is usually done based on rankings of candidates that express the preferences of the decision makers. A problem in the context of the selection of personnel is the aggregation of rankings candidate. This work deals with the problem of the team’s selection in a different way to the classical problem, since several decision makers are considered who must form team’s from the same set of candidates. For this, each decision maker has a group of experts who advise him, giving him a ranking of the candidates. For this new problem we propose a ranking aggregation method based on Genetic Algorithms and a method for the conformation of teams based on Ant Colony Optimization. The method based on Genetic Algorithm that is proposed finds, from the orderings generated by each group of experts, the consensus rankings that serve as the basis for the conformation of the teams of each decision maker. Both methods are added to the KNIME platform.
The team’s selection is an important task in the management of human resources in which the purpose is to carry out a process of personnel selection to form teams. This process is usually done based on rankings of candidates that express the preferences of the decision makers. A problem in the context of the selection of personnel is the aggregation of rankings candidate. This work deals with the problem of the team’s selection in a different way to the classical problem, since several decision makers are considered who must form team’s from the same set of candidates. For this, each decision maker has a group of experts who advise him, giving him a ranking of the candidates. For this new problem we propose a ranking aggregation method based on Genetic Algorithms and a method for the conformation of teams based on Ant Colony Optimization. The method based on Genetic Algorithm that is proposed finds, from the orderings generated by each group of experts, the consensus rankings that serve as the basis for the conformation of the teams of each decision maker. Both methods are added to the KNIME platform.
Descripción
Palabras clave
Agregacion de Rankings, Conformación de Equipos, Optimización Basada en Colonias de Hormigas (ACO), Algoritmos Genéticos, Plataforma Knime, Inteligencia Artificial