“…It is therefore recommended that the job planner uses tools that enable him to create and evaluate rotations quickly and flexibly, taking into account all the aspects that impinge on correct job assignation and the restrictions that assure the viability of the results obtained. Although various approaches to the problem of job rotation have been studied (Carnahan et al, 2000;Tharmmaphornphilas et al, 2003), this paper sets about the subject by proposing a genetic algorithm, which considers the conditions that maximize benefits from job rotation. In the process of generation of assignation alternatives the proposed algorithm considers that: the muscle groups involved in the various jobs performed by the worker in the different rotations should not be the same, the content of the jobs to be performed should involve an effective change of activity, and the preferences of the workers for certain jobs should be taken into account.…”