Difficulties in determining the standard time justify the need to develop alternative methods to direct
measurement procedures. The indirect methods which are comparison and prediction, standard data and
formulation, predefined movement-time systems have several deficiencies in time measurement
procedures. In this study, an alternative indirect work measurement method based on artificial neural
networks (ANNs) is presented which is simple and inexpensive. For the application of the proposed
method, the products that have similar production processes are selected among the whole product
family produced in a manufacturing company. The standard times of the sampled products that are
previously measured are used and the standard times of the remaining several products and semiproducts
are predicted by the proposed method. The model results show that the proposed method can
be applied accurately in companies which produce similar products.