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Motivated by the need to deal with uncertainties in energy optimization of flexible manufacturing systems, this paper considers a dynamic scheduling problem which minimizes the sum of energy cost and tardiness penalty under power consumption uncertainties. An integrated control and scheduling framework is proposed including two modules, namely, an augmented discrete event control (ADEC) and a max-throughput-min-energy reactive scheduling model (MTME). The ADEC is in charge of inhibiting jobs which may lead to deadlocks, and sequencing active jobs and resources. The MTME ensures the fulfillment of the innate constraints and decides the local optimal schedule of active jobs and resources. Our proposed framework is applied to an industrial stamping system with power consumption uncertainties formulated using three different probability distributions. The obtained schedules are compared with …