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Given the hypothetical situation that either of two machines may be used to manufacture an item, with one machine having a known defective item rate, while the other's defective rate is unknown, and considering the switching costs involved with stopping production on one machine and starting up production on the other, Bernoulli experiments can be applied to maximize successful item production while minimizing switching costs. The optimal solution of this problem involves certain monotonicity tenets, namely the 'stopping rule' and the 'stay on a winner' rule. A relatively simple algorithm, which uses the one-armed bandit problem as a special case, is derived for the optimal solution developed.