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This paper addresses a problem of scheduling n jobs with random processing times on a single machine which is subject to stochastic breakdowns. The objective is to determine a job schedule to minimize the expected completion time variance. The deterministic equivalent of the stochastic scheduling problem is derived when the counting process N(t) related to the machine uptimes is a generalized Poisson process. Two properties of the optimal schedules, such as V-shaped property, are developed.