In this paper, the general job scheduling problem is discussed, and some of the present Monte Carlo techniques used to obtain reasonable scheduling schemes are presented. This paper establishes several useful distribution free stopping rules for halting the Monte Carlo sampling procedure for the general job scheduling problem. These rules are extremely easier to use than the present techniques used in the literature and are especially reasonable for any non-normal type distribution.