Abstract
In this paper a methodology for the application of group technology to preventive maintenance strategy based on weighted similarity coefficients is introduced. In this methodology machines are grouped into clusters of virtual cells based on the predicted severity of failure they can encounter. These cells are used to come up with an efficient maintenance strategy such as to prioritize the execution of the preventive maintenance to certain types of machines. Numerical example is presented to illustrate the procedure.