Team formation based on group technology: A hybrid grouping genetic algorithm approach

Authors:
Luis E. Agustín-Blas;Sancho Salcedo-Sanz;Emilio G. Ortiz-García;Antonio Portilla-Figueras;Ángel M. Pérez-Bellido;Silvia Jiménez-Fernández
Affiliations:
-;-;-;-;-;-
Venue:
Computers and Operations Research
Year:
2011

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Abstract

This paper presents a new model for team formation based on group technology (TFPGT). Specifically, the model is applied as a generalization of the well-known Machine-Part Cell Formation problem, which has become a classical problem in manufacturing in the last few years. In this case, the model presented is especially well-suited for problems of team formation arising in R&D-oriented or teaching institutions. A parallel hybrid grouping genetic algorithm (HGGA) is also proposed in the paper to solve the TFPGT. The performance of the algorithm is shown in several synthetic TFPGT instances, and in a real problem: the formation of teaching groups at the Department of Signal Theory and Communications of the Universidad de Alcala in Spain.