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The purpose of this paper is to demonstrate the feasibility of reducing electricity cost for a manufacturing factory through scheduling in a smart grid scenario while maintaining production throughput. Different from traditional rate structure, electricity price of smart grid is time varying and dependent on the total demand. The most common strategy for a factory to reduce electricity cost is to shift electricity usage from on-peak hours to off-peak hours. However, changes in manufacturing schedules affect power demand and electricity price. Moreover, a manufacturing process cannot be interrupted after being started. This dynamic coupling brings additional challenges to scheduling problem that is already NP-hard. In this paper, a time-indexed integer programming scheme is developed and implemented in General Algebraic Modeling System to solve the scheduling problem. To demonstrate the approach, a hypothetical …